Scientist Jobs in Holt, MI

At Meta Reality Labs, we're developing the input technologies that will define the future of the virtual and augmented reality computing platforms. We are looking for a creative, skilled and motivated Research Scientist to join our machine perception team in advancing the state-of-the-art of human understanding, action recognition and statistical text decoding. You will work with research scientists, software engineers and hardware engineers to design technical solutions in a fast-paced multidisciplinary environment. **Required Skills:** AI Research Scientist - Computer Vision Responsibilities: 1. Contribute to and apply research that advances Meta products by developing novel input technologies for VR, MR and AR systems based on computer vision and machine learning. 2. Design and prototype interactive experiences and evaluate them through user research. 3. Design and prototype data collection systems to accelerate machine learning. 4. Collaborate and work across teams to develop concepts that advance the entire product pipeline (hardware, software, data collection, machine learning, etc.). **Minimum Qualifications:** Minimum Qualifications: 5. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 6. PhD in Computer Science or a related field with published projects in the fields of machine learning, deep learning and/or computer vision. 7. Proven experience in designing data collection protocols and quality control, manifested in solid contributions in constructing high quality computer vision and machine learning datasets. 8. Technical knowledge across a range of topics including machine learning, optimization, Bayesian statistics and state estimation. 9. Experience innovating or extending research ideas for new problem domains or for fitting new constraints. 10. Interpersonal experience: cross-group and cross-culture collaboration. **Preferred Qualifications:** Preferred Qualifications: 11. Experience transferring technology from research in computer vision, machine perception or machine learning into a shipping product. 12. Experience with joint hardware-software development and associated rapid prototyping. 13. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at AI conferences such as CVPR, ECCV/ICCV, SIGGRAPH, NeurIPS, ICLR, ACL or similar. 14. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub). **Public Compensation:** $147,000/year to $208,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Your Opportunity We are seeking a technical leader to spearhead Agentic AI research and development efforts. You will be responsible for driving the development and implementation of cutting-edge technologies. You will lead a team of world-class scientists in exploring new frontiers of Agentic AI to optimize their Long Term Memory use, Multi Agent interaction, Safety, Evaluation, etc to enable real world Enterprise solutions. Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems. Level: IC4 Career Level - IC4 **Responsibilities** **Responsibilities:** Research and Development: Conduct in-depth research on Agentic AI techniques, including Multi Agent solutions, memory management, and other emerging approaches. Model Development: Design, develop state-of-the-art Agentic AI platform that meets the highest quality standards. Team Leadership: Build and mentor a high-performing team of scientists and engineers. Collaboration: Work closely with cross-functional teams to integrate code generation capabilities into various applications and products. Innovation: Identify new opportunities for image generation and explore emerging technologies. Stay Updated: Maintain a deep understanding of industry trends and advancements in code generation. **Qualifications and Experience:** PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 5+ years relevant experience is preferred but not a must; OR Masters or Bachelor's in related field with 8+ years relevant experience Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences. Extensive experience in image generation, computer vision, and deep learning Proven track record of leading research and development projects Strong understanding of machine learning algorithms and architectures Excellent problem-solving and analytical skills Strong leadership and communication abilities If you are passionate about pushing the boundaries of image generation and have a proven track record of success, we encourage you to apply. Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from: $120,100 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Working/Functional Title Fundamental Symmetries Scientist Michigan State University operates FRIB as a user facility for the U.S. Department of Energy Office of Science (DOE-SC), supporting the mission of the DOE-SC Office of Nuclear Physics. As one of 28 DOE-SC user facilities, FRIB provides researchers with one of the most advanced tools of modern science to study rare isotopes, or short-lived nuclei not normally found on Earth. FRIB hosts what is designed to be the most powerful heavy-ion accelerator, enabling scientists to make discoveries about the properties of rare isotopes, nuclear astrophysics, fundamental interactions, and applications for society, including in medicine, homeland security, and industry. User facility operation is supported by the DOE-SC Office of Nuclear Physics. MSU's nuclear physics graduate program is a top-ranked program nationally, according to U.S. News & World Report . This position affords an exciting opportunity to become part of the world-class FRIB Laboratory that enables unique discovery opportunities in nuclear science. The major responsibilities of the position include the following: Prepare the fundamental symmetries experiments at the Laboratory Communicate and implement requirements for the fundamental symmetries experiments Verify experiments are within the specifications of the Laboratory Assist experimenters with the design, set-up, and carry out of the experiment Advise the experimenters as they prepare for experiments at the Laboratory Analyze their experiments Verify experiments run according to the approved plan, document experiences, and identify possible improvements Perform research and development projects to enhance the performance of fundamental symmetries experiments by Developing ion and neutral atom traps Developing cold atomic/molecular beam sources and Performing atomic/molecular spectroscopy Mentor and supervise a diverse group of students within an inclusive and equitable environment Perform scientific research related to fundamental symmetries using rare isotopes Publish results in scientific journals and make presentations at seminars and professional meetings Performs other duties as required or assigned, which are reasonably within the scope of the duties in this job classification Knowledge, Skills and Abilities Thorough knowledge of fundamental symmetries General knowledge of experimental setups and procedures in a laboratory environment Familiarity with safety protocols and regulations in a laboratory environment Knowledge of ion and neutral atom traps, cold atomic/molecular beam sources, and atomic molecular spectroscopy techniques Ability to implement and enforce laboratory standards and protocols Critical thinking and problem-solving abilities to troubleshoot experimental issues Knowledge and ability to program in C, python, Matlab, or equivalent Excellent communication skills to communicate effectively and credibly verbally and in writing with all audiences. Excellent project management and organizational skills Equal Employment Opportunity Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status. Required Degree Doctorate -Physics or Chemistry Minimum Requirements PhD in physics or chemistry in the area of experimental atomic, molecular, optical physics or nuclear science At least two years of postdoctoral experience by September 2024 At least three years of experience in the experimental fields of fundamental symmetries, precision measurements, and/or atomic/molecular/optical physics by September 2024 Demonstrated experience working with multi-institution collaborations Desired Qualifications Experience with lasers and optics Experience with atomic/molecular spectroscopy Experience with atomic/molecular beams Experience with laser cooling Experience with ion or neutral laser traps Experience with coordinating day-to-day activities on multiple projects Demonstrated familiarity with cryogenic engineering Demonstrated familiarity with microwave engineering Required Application Materials CV Cover Letter Contact information for three letter writers Special Instructions Questions related to the position can be directed to Sarah Powell (powells@frib.msu.edu) Review of Applications Begins On 06/27/2024 Website www.frib.msu.edu MSU Statement Michigan State University has been advancing the common good with uncommon will for more than 160 years. One of the top research universities in the world, MSU pushes the boundaries of discovery and forges enduring partnerships to solve the most pressing global challenges while providing life-changing opportunities to a diverse and inclusive academic community through more than 200 programs of study in 17 degree-granting colleges.

SUMMARY: Daicel Arbor Biosciences is a global provider of genomics reagents and services. We are looking for a creative, highly motivated genomics scientist who can design, build, and test tools for current and emerging NGS-based technologies. This person will leverage their experience and deep familiarity with sequencing technologies to independently research and develop genomics tools and reagents. They will design, execute, analyze, interpret, and regularly report relevant results in both narrative and graphical forms to peers and supervisors. A successful candidate will manage scientific projects towards developing differentiated and competitive product and service portfolios. PRIMARY RESPONSIBILITIES: Duties and Responsibilities include the following. Other duties may be assigned. Plan, organize and conduct experiments in developing new products and services in the area of genomics. Develop and execute protocols for sample preparation, library generation, and sequencing on various NGS platforms. Analyze data, generate reports and present results in internal and external forums. Develop and manage project timelines and project reporting. Maintain comprehensive documentation of experiments, analysis and reporting Collaborate closely with laboratory and bioinformatics team members to ensure timely execution and interpretation of experiments. Coordinate activities between various internal departments (R&D, Manufacturing, Product Management) that are essential for development or improvement of products and services. Supervise and mentor junior team members. Train team members in the areas of genomics. Keep abreast of scientific literature and new technologies related to genomics and that may apply to Daicel Arbor Biosciences products and services. Report research activities at R&D meetings. Make presentations of experimental results and conclusions at internal and external meetings, scientific conferences, and tradeshows. May manage junior scientists, technicians, research associates, interns. ESSENTIAL SKILLS / EXPERIENCE: Three plus (3+) years of hands-on laboratory research experience in Life Science Industry. Experience with basic molecular biology laboratory techniques of nucleic acid purification, restriction digestion, cloning, PCR, qPCR, electrophoresis etc. Extensive experience with designing and troubleshooting protocols from sample prep to sequencing. NGS library preparation, sequencing, assay development using Illumina sequencing platforms. Proficiency in analyzing NGS experimental results and derive conclusions. Advanced data analysis skills utilizing tools such as JMP and Excel, comfort with programming languages like Python and R, and proficiency with bioinformatics tools and platforms. Ability to work independently and collaboratively in a fast-paced research lab. A proactive, solutions-oriented mindset and demonstrated success in collaborative and individual projects. Strong organization and communication skills. Ability to manage multiple priorities in a dynamic environment. DESIREABLE SKILLS / EXPERIENCE: Targeted sequencing using one or more technologies (hybrid capture, MIPs, multiplex amplification). Technical proficiency in long-read sequencing technologies (e.g., PacBio). Familiarity with genotyping, RNA-seq, methyl-seq, transcriptomics, single-cell genomics, epigenetics. Hands-on experience with workflow automation. Demonstrated leadership, mentorship, or training capabilities. Proven example of an inventive use or modification of existing assays to meet needs. Lead authorship of publications related to molecular tool development/applications. Natural curiosity and desire to embrace, learn, and apply emerging technologies as applicable. EDUCATION PhD in molecular biology, genetics, microbiology, biochemistry or a related field.

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We're building the world's best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we've given more than 300,000 autonomy-enabled rides to real people around the globe. And we're just getting started. We're hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. Lead Data Scientist As a Lead Data Scientist, you will be responsible for extracting insights from large datasets, developing predictive models, and driving data-driven decision-making across the organization. You will collaborate with cross-functional teams to identify business opportunities, solve complex problems, and optimize processes. The ideal candidate will have strong analytical skills, a deep understanding of statistical techniques and machine learning algorithms, and the ability to effectively communicate complex findings to stakeholders. Essential Responsibilities Analyze, build, test, and implement statistical and machine learning models that extract meaningful insights from large datasets Apply mathematical and statistical techniques for spatial and temporal data Develop and implement advanced predictive models Build data visualization, dashboards, and reports for internal and external customers Write and optimize efficient, maintainable code, collaborating with cross-functional teams Skills and Abilities Strong analytical skills with the ability to manipulate and analyze large datasets Excellent communication and presentation skills with the ability to convey complex findings to non-technical stakeholders Strong problem-solving skills with a focus on validation and accuracy of results Proficiency in programming languages such as Python and frameworks like PySpark Ability to work independently and as part of a team Ability to mentor team members and contribute to culture of continuous learning and improvement Experience in developing and optimizing data pipelines and ensuring data quality Qualifications and Experience Required B.S, M.S. or PhD. Degree in Engineering, Data Science, Math, Statistics, or a related field 7+ years of experience in data science 2+ Experience with programming languages such as Python and frameworks such as Pyspark Experience working with large and complex datasets Experience working with databases, such as Postgres, MySQL, SQL Server Track record of writing optimized, scalable code Desirable Background in robotics or related field and understanding of temporal and spatial data concepts Physical Requirements Standard office working conditions which includes but is not limited to: Prolonged sitting Prolonged standing Prolonged computer use Lift up to 50 pounds Remote role based out of Ann Arbor, MI. Remote employees work primarily from home or an alternative work space. Travel requirements - 0% The salary range provided is based on a position located in the state of Michigan. Our salary ranges can vary across different locations in the United States. Salary Range$167,000—$190,000 USD Benefits and Perks Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate! Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available. Rich retirement benefits, including an immediately vested employer safe harbor match. Generous paid parental leave with immediate eligibility as well as a phased return to work. Flexible vacation policy in addition to 18 paid company holidays. Total Wellness Program providing numerous resources for overall wellbeing Don't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May. Want to learn more about our culture & benefits? Check out our website! May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know. Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.

Company: Norstella Employment Type: Full Time **Description** At Norstella, our mission is simple: to help our clients bring life-saving therapies to market quicker-and help patients in need. Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle -and get the right treatments to the right patients at the right time. Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, via our market-leading brands, we help our clients: + Citeline - accelerate the drug development cycle + Evaluate - bring the right drugs to market + MMIT - identify barrier to patient access + Panalgo - turn data into insight faster + The Dedham Group - think strategically for specialty therapeutics By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India. ** :** Norstella Real World Data (RWD) is seeking a skilled NLP Data Scientist with clinical background with a focus on Language Models to join our AI & Life Sciences Solutions team. Your expertise in processing and understanding natural language data, along with your knowledge of Electronic Health Records (EHR) and laboratory reports analysis, will be instrumental in driving our data science initiatives and innovations, particularly in the development of rich multimodal real-world datasets to expedite RWD-driven drug development in pharma. **Responsibilities:** + Employ and leverage NLP and open-source Large Language Models (LLM) such as LLama2, Mixtral, Qwen, BERT, etc., to extract, process, and interpret unstructured medical data from diverse sources like EHRs, medical notes, and laboratory reports. + Collaborate with clinical scientists and data scientists to create efficient NLP models for healthcare, exhibiting an understanding of both the technical and medical aspects of the data. + Conduct data cleaning, preprocessing, and validation to maintain the accuracy and reliability of insights gathered from NLP processes. + Validate and present data findings to stakeholders, exhibiting clear and effective communication skills. **Qualifications:** + Master's or Ph.D. degree in Computational Biology, Computer Science, Data Science, Computational Linguistics, Machine Learning, or a related analytical field. + Deep understanding and direct experience (2+ years) in handling and interpreting either Electronic Health Records (EHR) and laboratory tests results or genetic test results is a must. + Proven experience (2+ years) in NLP with a strong knowledge of NLP techniques such as Named Entity Recognition (NER), text summarization, topic modeling, etc. and their applied use in healthcare. + Expert-level understanding and practical experience (1+ years) with open-source Large Language Models (Llama2/3, Mixtral etc.), e.g., prompt engineering, inference, and fine-tuning. + Proficient in Python and SQL, with strong experience in NLP libraries such as NLTK, spa Cy, Hugging face Transformers, and deep learning libraries such as PyTorch, TensorFlow.Familiarity with common data science and ML practices, e.g., version control systems, agile methodologies, and documentation. + Experience in working with AWS cloud environment and large databases (e.g., AWS redshift). + Experience in managing ML lifecycle using open-source tools (e.g., MLflow).Detail-oriented with strong analytical and problem-solving abilities. + Excellent verbal and written communication skills, with ability to present complex data to non-technical audience. **Preferred Qualifications:** + Experience dealing with protected health information (PHI) and familiarity with healthcare-related data privacy laws such as HIPAA. + Familiarity with standard healthcare codes and terminologies such as ICD-10, CPT, LOINC, and SNOMED CT. + Experience in RAG (Retrieval-Augmented Generation) and vector store in the context of storing large volume of healthcare unstructured documents and querying those. **Benefits:** Medical and prescription drug benefits Health savings accounts or flexible spending accounts Dental plans and vision benefits Basic life and AD&D Benefits 401k retirement plan Short- and Long-Term Disability Paid parental leave Paid time off principles for success at Norstella **01: Bold, Passionate, Mission-First** We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do. **02: Integrity, Truth, Reality** We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesn't. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals. **03: Kindness, Empathy, Grace** We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication. **04: Resilience, Mettle, Perseverance** We will persevere - even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission. **05: Humility, Gratitude, Learning** We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking. The expected base salary for this position ranges from $140,000 to $200,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus. _Norstella is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, color, nationality, ethnic or national origin, religion or belief, disability or age. Our ethos is to respect and value people's differences, to help everyone achieve more at work as well as in their personal lives so that they feel proud of the part they play in our success. We believe that all decisions about people at work should be based on the individual's abilities, skills, performance and behavior and our business requirements. Norstella operates a zero-tolerance policy to any form of discrimination, abuse or harassment._ _Sometimes the best opportunities are hidden by self-doubt. We disqualify ourselves before we have the opportunity to be considered. Regardless of where you came from, how you identify, or the path that led you here- you are welcome. If you read this job description and feel passion and excitement, we're just as excited about you._ Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.

**Sponsorship:** **GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.** **Hybrid or Remote:** This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, or Milford], you are expected to report to that location three times a week, at minimum. **"A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review."** **The Role** The Product Safety Data Analytics team is seeking a technical leader with an extensive hands-on experience in the full end to end data science lifecycle for artificial intelligence & machine learning. This technical leader role requires extensive programming and statistical techniques to both solve complex problems and provide guidance to a team of data scientists that are focused on AI/ML. If you're passionate about driving innovation through AI/ML and are a proven technical leader, this role offers an exciting opportunity to contribute to impactful projects in a dynamic team environment. As the Machine Learning Technical Lead, you will be responsible for working with our customers to understand their challenges and needs, develop new machine learning solutions, provide updates to existing production models, lead ML Ops in a cloud environment, develop proof of concepts for new generative AI solutions as well as providing technical expertise and guidance to a team of Data Scientists. **What You'll Do** + Train new machine learning models to solve complex business problems + Enhance existing machine learning models to increase performance and adapt to our changing business landscape + Prototype new AI solutions, including Generative AI, to solve business problems + You provide guidance on business problems using statistical methods and can craft ad-hoc reports to share findings and recommendations with business partners + Build statistical models that depict company-wide trends. + Perform testing and validation of data sets + Challenge of determining the meaning of data and explaining how various teams and leaders can leverage it to improve and streamline their processes + Keeping defined structures in documentation and data and have a large toolset in statistical methodologies to tackle business problems **Additional Job Description** **Your Skills & Abilities** + Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field + 7+ years of experience in machine learning, engineering, data science, or a related field + Candidate must be recognized as the SME or "go to" person for Machine Learning. You must have experience with many different forms of machine learning such as linear regression, decision trees, support vector machines, random forest, gradient boosting, PCA, CNN, LLMs and/or Generative AI. You must be able to use Machine Learning to solve complex problems in prior or current experiences and generally be considered a lead data scientist for AI/ML. + Looking for Extensive Experience in the flowing: + **Programming & Frameworks** : **Python** , R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL + **Machine Learning & AI** : Large Language Models (LLMs), Generative AI, RAG, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering + **Data Engineering** : Databricks, Hadoop, SQL, Data Pipelines, Data Preprocessing & Feature Engineering + **Cloud & Big Data Platforms: (Preferred** Microsoft Azure (Data Lake, Machine Learning, Databricks)), **Nice to Have** (AWS (S3, SageMaker, Bedrock) or Google Cloud Platform (BigQuery, Dataflow, AI Platform) ) + **Deployment & MLOps:** **MLflow** , Model Monitoring & Versioning, Docker & Kubernetes, **GitHub** , Jira + **Data Analysis & Visualization** : Tableau, PowerBI, Pandas, NumPy + Proven track record providing technical leadership in AI/ML + Excellent communication and collaboration skills, with the ability to work effectively in a team environment + Strong problem-solving mindset and a proactive attitude towards learning and self-improvement **What Will Give You A Competitive Edge (Preferred qualifications)** + Masters Degree in Computer Science, Engineering, Mathematics or related field + Extensive NLP solutions from business problem statement to deployment and ongoing optimization + Expertise with Large Language Models solutions from business problem statement to cloud deployment that have provided significant incremental business value + Experience with generative AI solutions that you have developed and deployed into a production environment that have provided significant incremental business value + Experience indirectly leading a team of data scientists to exceed customer expectations **This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.** **Compensation:** + The expected base compensation for this role is $110,000 - $172,100 USD Annually + Actual base compensation within the identified range will vary based on factors relevant to the position + Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance **Benefits:** GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We aspire to be the most inclusive company in the world. We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team. **Benefits Overview** The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others: - Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents; - Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family; - Company and matching contributions to 401K savings plan to help you save for retirement; - Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; - Tuition assistance and student loan refinancing; - Discount on GM vehicles for you, your family and friends. **Diversity Information** General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer. We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities. **Equal Employment Opportunity Statements** GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics. For purposes of this policy, "protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. **Explore our global location** **s** The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

The MS&T Lead Scientist & Supervisor role encompasses team leadership, operational excellence, and fosters a culture of safety, quality, and continuous improvement. This position will manage capabilities focusing on scale-up of various radioisotope processes, operational excellence, and development of continuous improvement projects following cGMP. This position will lead the Ac-225 MS&T isotopes team, including day-to-day oversight of R&D operations, safety and quality. People Management roles embrace leadership as a choice, a responsibility, and a remarkable privilege to positively impact the lives of others. Job satisfaction in People Management roles is measured by the synergy you instill in cross-functional team members, enabling them to achieve optimal outcomes. You model a positive learning environment and celebrate the journey as well as the destination. Essential Functions: Technical & Strategic Leadership Maintain compliance with cGMP practices, policies and procedures. Coordinate with key stakeholders & other departments in the organization to ensure production objectives are met, key initiatives are completed, and staff are properly developed and trained. Set KPIs for continuous improvement projects, communicate key program updates, and drive improvements in quality, safety, and productivity to ensure KPIs are met. Interact and maintain strong collaborative relationships with stakeholders internally (including Product Development Team, Leadership Team, & Project Steering Teams) and externally (including business partners, industry partners, and service providers). Demonstrate strategic planning skills, strong leadership skills, effective communication skills, high level of drive, integrity and energy. Provide technical leadership in areas including Ac-225/Ra-226 radiochemistry, process improvement, cGMP manufacturing & analytical development to the team and organization team management. Ensures quality control standards are maintained to meet/exceed customer expectations for both production and research/development. Serve as a technical consultant & SME for the production teams during troubleshooting, root cause analysis & for major NCMRs/CAPAs. Lead deployment of technical solutions, CAPAs, & managing effective change control to Ac-225/Ra-226 operations. Execute technical projects to improve process control, yield, purity, and/or productivity. Team Management Leads and inspires a diverse team of skilled professionals. Establishes and maintains a technical direction and supervisory oversight structure for the department, including career progression and succession planning. Hires, fires, promotes, disciplines, coaches, and awards staff members according to organizational policies. Holds consistent coaching sessions through 1:1's and career development meetings. Ensures the onboarding, training, and career development of staff members. Within the department and across the organization, fosters a culture of respect, safety, quality, and continuous improvement aligning with the mission, vision, and values of the organization. Competencies Embraces & models the Niowave Values of Teamwork, Courage, Integrity, and Upright Zeal. Understands how to integrate into a new team/organization - appreciates the history of current state, know how and when to make suggestions, as well as using just the right pace to reach the improved future state. Understands your own communication and learning styles, can assess others' styles, and is able to find the right path to connect the two. Analytical and problem-solving skills; excellent interpersonal, written, and oral communication skills. Organizational and project management skills for self and teams. Ability to manage multiple priorities simultaneously while meeting deadlines. Proven ability to lead and develop staff and teams. Expertly performs in a team-oriented, collaborative environment. Strategic thinking and ability to balance short term needs with long term business evolution Required Education and Experience Bachelor's degree in Chemistry, Chemical Engineering or related field 5 years' experience operating in a cGMP manufacturing environment 2+ years' experience of direct supervising, including day to day activities of a team of eight or more, providing mentoring, and career development coaching. Experience with radiochemistry and/or radiopharmaceuticals. Preferred Education and Experience Masters degree in Chemistry, Chemical Engineering or related field Experience with chromatography separation, liquid/solid extraction, electrochemistry or amalgamation/cementation processes is an asset Hands-on experience utilizing lean manufacturing principles for continuous process improvements (Six Sigma, Lean Manufacturing, 5S) 5+ years' experience of direct supervising day to day activities of a team of ten or more, providing mentoring, and career development coaching Physical Demands The physical demands described here are representative of those that must be met by a staff member to successfully perform the essential functions of this job. Stand; walk; sit; stand and sit for prolonged periods Use hands to finger, handle, or feel objects, tools or controls Vision abilities including near vision/acuity and visual color discrimination Talk and hear Reach with hands and arms Climb stairs Wear safety glasses, goggles, gloves, and Tyvek suit Handle chemicals, solutions, and/or radioactive materials Ability to lift or move products and supplies, up to 25 pounds. Position Type/Expected Hours of Work/Travel Full-time position. Company's standard operating hours are Monday thru Friday 6a - 6p with production related activities requiring 24/7/365 shifts. This position will have regular working hours during M - F with an expectation of adjusting to work outside of the standards operating hours as needed. Niowave has multiple locations within the Lansing area. Travel between locations is expected in the role.

NSF is looking to hire Scientist II that have the ability to work well in a team environment. As a Scientist II you'll be responsible for performing analytical laboratory procedures and performing basic instrumentation maintenance and troubleshooting. 3:00pm-11:30pm but will qualify for a 2nd 10% shift premium. Responsibilities Perform routine tests using LCMSMS to support standard 60/61 including sample preparation, media preparation, sample processing, data entry, data analysis, data peer review, and data reporting Independently perform troubleshooting and maintenance of various LCMS instruments and methods in the water testing area. Collaborate and communicate effectively with team members in delivering data of results on time. Maintain a high level of productivity. Participate in the improvement of the existing methods, development, and validation of new methods for expanding the test capability to support business expansion. Provide a high level of data quality by keeping traceability records for equipment maintenance, non-conformance, method modification, and standard deviations. Engage in cross-functional discussions in failure resolutions and, prepare and provide supporting data for lab investigation and/or QA data review. Evaluate and develop laboratory processes, procedures and perform maintenance/selection of instrumentation Set a plan for training junior analysts to develop their judgment skills. #LI-CB1 Qualifications 4 years science degree. Minimum years of analytical lab experience: 5-8 years Hands-on experience in operating the LCMS instrument Good communication skills Ability to demonstrate NSF core values and ethics Ability to safely handle chemicals Knowledge of troubleshooting principles.

Mission Statement Michigan Engineers are world-class educators, researchers, students and staff who strive to build a people-first future. As part of a top national public research institution, Michigan Engineering's mission is to provide scientific and technological leadership to the people of the world, develop intellectually curious and socially conscious minds, create collaborative solutions to societal problems, and promote an inclusive and innovative community of service for the common good. Our vision, mission and values are supported by a people-first engineering framework that guides our work. As Michigan Engineers, we strive to apply excellent engineering fundamentals, integrated expertise and equity-centered values to reimagine what engineering can be, close critical gaps, and elevate all people. Information about our vision, mission and values can be found at: **************************************** Responsibilities* Extensive expertise in multiple fields, including RF circuit design, computational electromagnetics, and the development of antennas and antenna arrays?areas crucial for advancing research in both industry and government sectors. Required Qualifications* PhD in Electrical Engineering and/or Computer Science Experience in organic light emitting devices Additional Information EECS/ECE 1301 Beal Ave. Ann Arbor, MI 48109-2122 U-M EEO Statement The University of Michigan is an equal employment opportunity employer. Job Detail Job Opening ID 249414 Working Title Assistant Research Scientist of ECE Job Title ASST RES SCIENTIST Work Location Ann Arbor Campus Ann Arbor, MI Modes of Work Onsite Full/Part Time Full-Time Regular/Temporary Regular FLSA Status Exempt Organizational Group College Engineering Department EECS - ECE Division Posting Begin/End Date 4/16/2025 - 4/23/2025 Career Interest Research Apply Now

Element Ann Arbor has a great opportunity for a Proteomics Scientist to join our Method Development and Characterization team. The individual must be proficient in protein biochemistry, protein mass spectrometry (bottom up and top down proteomics), and hands on LC-MS/MS experience and analysis. Responsibilities Design, execute and analyze protein LC-MS/MS to elucidate protein sequence and post translational modifications such as glycosylation, deamidation, and other characterization attributes. Design, execute, and analyze proteomics experiments to identify unknown proteins in a sample. Perform other analytical separations techniques such as HPLC (SEC, RP, AIEX, CIEX), LC-MS/MS, LC-QTOF, cIEF, CE-SDS. Perform basic molecular biology techniques such as UV-Vis, Enzymatic Assays, BCA, Bradford, ELISA, Western Blots, SDS-PAGE. Perform method development to meet intent of customer needs. Write reports and proper documentation of the work in cGMP setting Carry out technical transfer of the developed method to other groups within the organization Execute projects with minimal supervision Have the ability to analyze data from the qualitative to the rigorously statistical and defend conclusions based on data Have the ability to demonstrate strong problem-solving, troubleshooting and analytical abilities Follow all safety requirements including wearing appropriate personal protective equipment Generate supporting laboratory documentation Ensure compliance with government rules and regulations (FDA, cGMP, DEA, ICH, OSHA, etc.) Performs other related duties as assigned. Skills / Qualifications Ph.D. degree in Chemistry, Biochemistry, Structural Biology, or Cellular Molecular Biology 1 Year of experience in a related field, discipline, or environment Hands on experience designing and executing proteomics projects Hands on experience with large molecules such as peptides, proteins, AAV or lentivirus Hands on experience with HPLC and mass spectrometers Effective scientific writer (experience with report writing) Effective oral presenter (experience with scientific presentations) Effective time management skills with a proven ability to meet deadlines Must be a flexible, adaptable, self-driven team player with a positive attitude Excellent verbal and written communication skills. Excellent organizational skills and attention to detail. Excellent time management skills with a proven ability to meet deadlines. Strong analytical and problem-solving skills. Ability to function well in a high-paced and at times stressful environment. Proficient with Microsoft Office Suite or related software. #LI-TK1 Company Overview Element is one of the fastest growing testing, inspection and certification businesses in the world. Globally we have more than 9,000 brilliant minds operating from 270 sites across 30 countries. Together we share an ambitious purpose to ‘Make tomorrow safer than today'. When failure in use is not an option, we help customers make certain that their products, materials, processes and services are safe, compliant and fit for purpose. From early R&D, through complex regulatory approvals and into production, our global laboratory network of scientists, engineers, and technologists support customers to achieve assurance over product quality, sustainable outcomes, and market access. While we are proud of our global reach, working at Element feels like being part of a smaller company. We empower you to take charge of your career, and reward excellence and integrity with growth and development. Industries across the world depend on our care, attention to detail and the absolute accuracy of our work. The role we have to play in creating a safer world is much bigger than our organization. Diversity Statement At Element, we always take pride in putting our people first. We are an equal opportunity employer that recognizes diversity and inclusion as fundamental to our Vision of becoming “the world's most trusted testing partner”. All suitably qualified candidates will receive consideration for employment on the basis of objective work related criteria and without regard for the following: age, disability, ethnic origin, gender, marital status, race, religion, responsibility of dependents, sexual orientation, or gender identity or other characteristics in accordance with the applicable governing laws or other characteristics in accordance with the applicable governing laws. The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c) “If you need an accommodation filling out an application, or applying to a job, please email ***********************”

At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we're focused on using technology to improve healthcare. Our commitment to innovation, design, and a product-centric approach helps us create solutions that make a real difference. We're a team of passionate individuals who thrive in a culture of collaboration and continuous learning. We leverage cutting-edge technology and data insights to solve complex problems, forge new business models, and create products that truly impact the lives of our customers. As a Full Stack Data Scientist and a key member of our AI CoE, you'll play a pivotal role in driving this transformation. You'll work closely with business stakeholders to understand their needs and translate them into actionable data-driven solutions. You will be responsible for building and maintaining robust machine learning models and GenAI solutions, designing intuitive user interfaces, and ensuring seamless integration with our existing systems. This role is looking for a highly skilled and versatile engineer who can bridge the gap between machine learning and front-end development. The ideal candidate will have a strong understanding of both areas and be able to apply their knowledge to build innovative and user-friendly applications. **Responsibilities** + Develop intuitive and user-friendly web applications using modern front-end frameworks (e.g., React, Angular, Vue.js) to showcase and interact with your ML/GenAI solutions. + Strong understanding of React components, state management, and lifecycle methods. + Ability to build complex and performant user interfaces. + Develop and deploy Machine Learning (ML) models: Design, train, and optimize machine learning models for a variety of applications like forecasting, classification and categorization systems, and churn prediction. + Develop, integrate and maintain Generative AI (GenAI) solutions: Explore and implement GenAI technologies, like large language models (LLMs), to enhance existing applications or create new GenAI-based solutions. This includes working with RAG technologies, embedding models, and crafting effective prompts for LLMs. Ensure the reliable and scalable deployment; and support and maintenance of GenAI models in production environments. + Construct robust APIs: Design and implement RESTful APIs to integrate your ML models or GenAI solutions with other applications and systems within the organization. + Build and maintain end-to-end ML pipelines: Design, develop, and maintain robust and scalable ML pipelines, encompassing data ingestion, feature engineering, model training, deployment, and monitoring. + Ensure scalability and performance: Design and implement solutions to ensure that your ML and GenAI applications are scalable, efficient, and performant, even with large volumes of data and usage. + Create compelling data visualizations: Develop interactive and insightful visualizations to communicate the results of your data analysis and ML/GenAI models to stakeholders + Collaborate with cross-functional teams: Work closely with principal and senior data scientists, data engineers, business analysts, and product and project managers to ensure successful delivery of projects. + Stay current on the latest trends in AI: Actively seek out and experiment on new ML and GenAI technologies and approaches to enhance your skillset, and the performance and efficiency of your ML/GenAI models. This includes active participation in internal events like AI CodeJam. **Qualifications** + Bachelor's degree in mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is preferred. + At least 4 years of experience as a Full Stack Machine Learning Engineer or similar role preferred + Experience including HTML, HTML5, CSS3 and JavaScript (React preferred), Angular, Vue.js, Python, Java, Node.js, Flask/Django, FastAPI, PostgreSQL. + Experience with popular React libraries and tools (e.g., Redux, React Router, Styled Components). + Experience in DevOps tools like Docker, Kubernetes, Airflow; version control using Git and CI/CD piplelines using Concourse + Knowledge of clinical domain and datasets. + Knowledge of REST, Apigee, Microservices preferred + Experience in Generative AI, RAG implementation, re-ranking, Large Language Models (LLMs), LangChain, LlamaIndex, Hugging Face, Vector databases, Embedding models, Prompting techniques. + Experience with Machine Learning and related technologies such as Jupiter Notebooks, RAG, NumPy, Pandas, Scikit-learn, Tensor-Flow, Pytorch, Supervised and Unsupervised learning, Deep learning, Model evaluation + Understanding of cloud data engineering and integration concepts including GCP, Vertex AI, Cloud functions, Compute Engine, Cloud storage. + Strong mathematical and statistical skills. + 2+ years in the Healthcare industry and knowledge of clinical data preferred. + Delivery experience with Google Cloud Platform preferred. + Agile development skills and experience preferred. + Experience designing and developing machine learning and deep learning solutions and systems. + Experience using statistical analysis to determine data modeling approach, training machine learning tests and experiments. + Experience possessing deep functional and technical understanding of the Machine Learning technologies (Google's Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged within the Commercial Technologies and/or Business landscape. + Experience mining and analyzing large structured and unstructured datasets. + Experience identifying the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions. + Experience in building end-to-end ML pipelines from data ingestion, feature engineering, model training, deploying and scaling the model in production + Experience in model training, model evaluation, model optimization, ML system architecture design, and scalable ML model deployment + Experience building large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform and the Apache Beam + Proficiency in Python and relevant libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks. + Experience in building solutions for AI/ML services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment e.g., (GCP) + Experience interacting with REST APIs and microservices + Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment. **What is expected of you and others at this level** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Recommends new practices, processes, metrics, or models + Works on complex projects of large scope projects may have significant and long-term impact + Provides solutions which may set precedent + Collaborate with stakeholders for completion of new projects **Anticipated salary range:** $93,500 - $133,600 **Bonus eligible:** No **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 1/26/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Team Culture Great things happen when people can bring their authentic selves to work. We empower all of our employees to share their perspectives, passions and experiences because collectively we make a better, stronger team. Our team members collaborate closely with peers & cross functional stakeholders throughout the business, our clients on the forefront of digital transformation, and the cutting edge of digital manufacturing thought leadership. We take pride in our self-starter culture where employees are enabled and encouraged to achieve their professional goals through leadership guidance, learning and development. Our philosophy is that careers are continuous journeys, and we dedicate time and offer resources so that employees can reach their full potential. Benefits + Perks We value you at and outside of work and know your loved ones are important. Our benefits are designed to support you and your family's health through life's expected and unexpected events. Our Benefits Include: * Competitive Salary + Stock Options * Health Care Coverage + Life Insurance + Health Savings Account + Flexible Spending * Account (includes spouse + children) * Flexible Vacation Policy * Adaptable Working Schedule and Environment * Our Perks Include: * Casual Dress Attire * Hybrid work flexibility * Catered Lunches, Snacks and Beverages * Commuter Savings Program * Company Outings * Designated Volunteering Hours + Group Volunteer Events Sight Machine is proud to be an equal opportunity employer and considers candidates regardless of age, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Sight Machine also considers qualified applicants regardless of criminal histories, consistent with legal requirements. About Sight Machine, Inc. Sight Machine strengthens manufacturers by providing the industry's only standard data model and system-level visualization capabilities. By integrating all crucial data into a single innovative platform, everyone involved in the fabrication process can visualize, contextualize and examine data in one intuitive interface. Sight Machine is committed and mission-driven to improve lives, strengthen communities and make the world cleaner through continuously re-envisioning manufacturing processes - making them more efficient, sustainable and absolute. Founded in Michigan in 2011 and expanded to San Francisco in 2012, Sight Machine blends the spirit of technology innovation and the down to earth style of Detroit manufacturing. Our team includes early leadership from Yahoo, Tesla Motors and Oracle. Together, we share wide industry knowledge and a commitment to advance manufacturing to a more sustainable future. At Sight Machine, you will work with manufacturing leaders in the automotive, medical device, apparel, construction, and pharmaceutical industries. You will have access to, and work with massive amounts of factory floor data to help uncover insights on how customers make products and develop solutions to pressing business problems. The platform solves problems like Extract Transform Load (ETL), information retrieval, data aggregation and analytics, factory automation, distributed computing, and security. We place great value on professional, technical, and personal growth in an inclusive, collaborative environment. The ideal candidate will have a passion for technology and a strong can-do attitude. About the Data Scientist Role As a Data Scientist, you will sift through massive amounts of factory floor data to uncover insights into how customers make products and develop solutions to pressing business problems for some of the world's most iconic manufacturers and technology providers, including industry leaders like Microsoft, Siemens, and Databricks. If you are interested in complex solution-finding, strong communication skills, and ever-deepening subject matter expertise in manufacturing, AI/ML, and cutting-edge technologies, please apply for this position. You will drive sustainability and game-changing results for global leaders in manufacturing and continuously develop your skills as a pioneer in the Data Era. Why Join Sight Machine's Services Team Our team is a hungry, humble, smart group of data architects, data scientists, data engineers, software developers, and customer engagement managers who work collaboratively to solve some of the most complex challenges facing our manufacturing customers. We are laser-focused on trusting and empowering each other, working to solve today's problems (while knowing tomorrow will bring a few more), and getting a little better every day. What You'll Do * Consult with customers to clarify business problems and understand requirements and shape solution design. * Perform analysis and modeling, selecting and wrangling appropriate data, develop visualizations and applications, and use storytelling to communicate your results. * Generalize specific customer solutions to develop future product additions in the Sight Machine platform. * Collaborate with engineering and product teams to add new features and contribute to the development of our data platform * Train customers on how to get the most out of their analytics * Support our sales teams during customer calls and provide the data science "point of view" on how we help customers gain insights from their factory floor data. * Perform exploratory research on the latest methodologies in data science and predictive analytics, ranging from researching which algorithms may be useful to apply to manufacturing analytics to diving into the latest research on big data architectures This position requires up to 20% domestic and international travel to client business and factory sites to meet with clients, drive conversations on data science and AI/ML, and participate in onsite strategy sessions. The frequency of travel will vary based on the client.

I have a Med Tech role available near Ovid, Michigan! Details - Full-time and permanent - Shift: Days or Evenings - Opportunities for growth - Full, comprehensive benefits package (PTO, health insurance, life insurance, 401k, etc) Requirements - College degree - ASCP cert - Prior experience Click apply or email your resume to leah@ka-recruiting.com/call or text 617-746-2751! You can also schedule a time to chat here -https://calendly.com/leahkarecruiting/10min. REF#LM3912

Title: Environmental Scientist Interviewing ASAP!! Hours: Hiring for first shift! Must be flexible to work Monday-Friday, 8:00am-5:00pm with OT Onsite role-MUST be willing to commute to Mt. Pleasant, MI Must haves: * Bachelors in Environmental or Civil Engineering, Environmental Science, or Geology * 2 plus years of experience as an Environmental Scientist, Field Tech, Geologist, and/or Environmental Engineer * Fieldwork sampling experience, including doing site assessment (ESA) and remediation, subsurface drilling and soil boring descriptions/logging, monitoring well installation, groundwater sampling methods, soil sample collection for UST removal documentation, and accurate and complete documentation of activities performed * Understanding scope, schedule, and budget management * Current OSHA 40-hr HAZWOPER with current 8-hour refresher Pay and Benefits The pay range for this position is $25.00 - $31.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: * Medical, dental & vision * Critical Illness, Accident, and Hospital * 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available * Life Insurance (Voluntary Life & AD&D for the employee and dependents) * Short and long-term disability * Health Spending Account (HSA) * Transportation benefits * Employee Assistance Program * Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Brighton,MI. Application Deadline This position is anticipated to close on May 6, 2025. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. Diversity, Equity & Inclusion At Actalent, diversity and inclusion are a bridge towards the equity and success of our people. DE&I are embedded into our culture through: * Hiring diverse talent * Maintaining an inclusive environment through persistent self-reflection * Building a culture of care, engagement, and recognition with clear outcomes * Ensuring growth opportunities for our people The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. Central Engineering is KLA's largest engineering organization comprised of 9 Centers-of-Excellence (CoE) in various disciplines applied across all product groups in the company. These CoE include Handling & Automation, Precision Motion Control, Sensors & Image Acquisition, Platform Design, and Packaging Engineering, among others. Talent includes over 500 engineers across global centers in Israel, China, India, and the US. Each CoE contributes not just talent and deliverables per discipline toward product programs, but also subject matter expertise, best practices, roadmaps, specialized facilities, apparatus, models, and analytics. These differentiate KLA not only in WHAT we do, but also in HOW we do it. Job Description/Preferred Qualifications Our physics modeling group in Ann Arbor, Michigan, is seeking a motivated research scientists to join our team! A strong background in Computational Fluid Dynamics (CFD) and computational heat transfer (CHT), with experience solving engineering problems for sophisticated systems. This role will involve collaborating closely with our R&D and Engineering teams to understand their design needs and define modeling requirements. Experience with rarefied gas flow modeling is a plus. Are you ready to take on exciting challenges and help design next generation hardware products? Apply now as the future is yours to build! Responsibilities in this role include: Using CFD and Thermal modeling to guide next-gen inspection and metrology tool development Using simulations based on multiple physical models and building correlations with experimental data Preparation of detailed modeling plans, schedules and summary reports, communication with collaborators and team members to maintain alignment Coordination and performing root cause analysis to solve problems Qualifications: Degree's or equivalent experience in Applied Physics/Engineering Hands-on experience using modeling to solve sophisticated engineering problems. Responsible working demeanor and should be a great teammate. Ability to work with multi-functional internal teams, both oral and written, division management, as well as external customers. Excellent written and verbal communication, and ability to break down problems for planning and execution. Minimum Qualifications Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years. Base Pay Range: $100,000.00 - $170,000.00 AnnuallyPrimary Location: USA-MI-Ann Arbor-KLAKLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process. KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at ************************** or at *************** to request accommodation. Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to ************************** to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

Meta is seeking a Research Scientist to join Fundamental AI Research (FAIR), a research organization focused on making significant progress in AI. Our organization is motivated by producing new science to understand intelligence and technology towards achieving advanced machine intelligence. The ideal candidate will have established expertise in artificial intelligence and machine learning, particularly in areas such as deep learning, computer vision, and reinforcement learning. **Required Skills:** Fundamental AI Research Scientist, Computer Vision - FAIR Responsibilities: 1. Develop algorithms based on state-of-the-art machine learning and neural network methodologies. 2. Conduct research to advance the science and technology of intelligent machines. 3. Conduct research that enables learning the semantics of data (images, video, text, audio, speech and other modalities). 4. Contribute to and apply research that advances Meta Platforms products. 5. Conduct and collaborate on research projects within a globally-based team. **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 7. PhD degree in the field of Artificial Intelligence, Computer Vision, Machine Learning, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta. 8. 2+ years of industry, academic, or government lab experience in computer vision and/or machine learning. 9. First-Author Contributions and / or Publications at peer-reviewed conferences (e.g. CVPR. ECCV, ICCV, NeurIPS, and SIGGRAPH). 10. Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward. 11. Experience communicating research for public audiences of peers. 12. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment. **Preferred Qualifications:** Preferred Qualifications: 13. 4+ years of work experience in an industry, university, or government lab. **Public Compensation:** $147,000/year to $208,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Building off our Cloud momentum, Oracle has formed a new organization - Oracle Health & AI. This team will focus on product development and product strategy for Oracle Health, while building out a complete platform supporting modernized, automated healthcare. This is a net new line of business, constructed with an entrepreneurial spirit that promotes an energetic and creative environment. We are unencumbered and will need your contribution to make it a world class engineering center with the focus on excellence. Within the larger Oracle Health & AI organization, the Clinical Summaries team leverages Generative AI capabilities in a low-code environment to deliver contextualized information to healthcare providers at the point of care. The Clinical Summaries team has been delivering clinical insights into Oracle Health products for 4 years and is evolving rapidly to provide Generative AI solutions for the healthcare domain. We operate in an agile environment with a substantial charter, high visibility, and support from senior leadership. As our Principal Applied Scientist, you will play a key role in shaping the future of AI at Oracle, with an emphasis on Large Language Models (LLMs) and Generative AI. Your contributions will be pivotal in delivering our new Generative AI-powered solutions for healthcare and enterprise customers. Career Level - IC4 **Responsibilities** **Responsibilities** + Collaborate with product managers to translate business and product requirements into AI projects. + Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services. + Coordinate with multinational teams to drive projects from research POC to production. + Develop new healthcare and enterprise services and features leveraging recent advances in generative AI, machine learning and deep learning. + Design and review the architecture of AI solutions, including data, model, training, and evaluation, employing best practices. + Lead and mentor both junior and senior applied scientists. + Develop production code and advocate for the best coding and engineering practices. + Participate in project planning, review, and retrospective sessions. + Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering. **Qualifications and Experience** + Demonstrated experience in designing and implementing scalable AI models for production. + Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers. + Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts. + Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc. + Proven experience in designing data collection/annotation solutions and systematic evaluation necessary for developing and maintaining production systems. + Commitment to staying up-to-date with the field and applying academic advances to solve complex business problems, and bringing them into production. + Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences. + Experienced leading senior scientists and early-career scientists. **Preferred Qualifications** + Knowledge of healthcare and experience delivering healthcare AI models are a significant plus. + Exceptional verbal and written communication skills, with the ability to convey complex technical concepts to both technical and non-technical audiences. + Ability to thrive in a fast-paced work environment and adapt quickly to changing priorities and requirements. **Education** + PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 4+ years relevant experience is preferred but not a must; OR + Masters or Bachelor's in related field with 6+ years relevant experience Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from: $120,100 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We're building the world's best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we've given more than 300,000 autonomy-enabled rides to real people around the globe. And we're just getting started. We're hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. Lead Data Scientist As a Lead Data Scientist, you will be responsible for extracting insights from large datasets, developing predictive models, and driving data-driven decision-making across the organization. You will collaborate with cross-functional teams to identify business opportunities, solve complex problems, and optimize processes. The ideal candidate will have strong analytical skills, a deep understanding of statistical techniques and machine learning algorithms, and the ability to effectively communicate complex findings to stakeholders. Essential Responsibilities * Analyze, build, test, and implement statistical and machine learning models that extract meaningful insights from large datasets * Apply mathematical and statistical techniques for spatial and temporal data * Develop and implement advanced predictive models * Build data visualization, dashboards, and reports for internal and external customers * Write and optimize efficient, maintainable code, collaborating with cross-functional teams Skills and Abilities * Strong analytical skills with the ability to manipulate and analyze large datasets * Excellent communication and presentation skills with the ability to convey complex findings to non-technical stakeholders * Strong problem-solving skills with a focus on validation and accuracy of results * Proficiency in programming languages such as Python and frameworks like PySpark * Ability to work independently and as part of a team * Ability to mentor team members and contribute to culture of continuous learning and improvement * Experience in developing and optimizing data pipelines and ensuring data quality Qualifications and Experience Required * B.S, M.S. or PhD. Degree in Engineering, Data Science, Math, Statistics, or a related field * 7+ years of experience in data science * 2+ Experience with programming languages such as Python and frameworks such as Pyspark * Experience working with large and complex datasets * Experience working with databases, such as Postgres, MySQL, SQL Server * Track record of writing optimized, scalable code Desirable * Background in robotics or related field and understanding of temporal and spatial data concepts Physical Requirements * Standard office working conditions which includes but is not limited to: * Prolonged sitting * Prolonged standing * Prolonged computer use * Lift up to 50 pounds * Remote role based out of Ann Arbor, MI. * Remote employees work primarily from home or an alternative work space. * Travel requirements - 0% The salary range provided is based on a position located in the state of Michigan. Our salary ranges can vary across different locations in the United States. Salary Range $167,000-$190,000 USD Benefits and Perks * Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate! * Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available. * Rich retirement benefits, including an immediately vested employer safe harbor match. * Generous paid parental leave with immediate eligibility as well as a phased return to work. * Flexible vacation policy in addition to 18 paid company holidays. * Total Wellness Program providing numerous resources for overall wellbeing Don't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May. Want to learn more about our culture & benefits? Check out our website! May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know. Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.