Associate Scientist Jobs in Redwood City, CA

Backed by T1 AI investors (Andreeson Horowitz), you will join a crack research team of ex Skolkovo Institute of Science and Technology, Stanford, Google, Intel, Salesforce) to build a multimodal text to video application for real-time retail. They are playing in a $13 trillion industry and are reacting to fashion's landscape, shaped by a relentless pursuit of speed, creativity, and the continuous renewal of trends. Most brands are hindered by manual workflows, juggling disparate tools. This startup has anticipated a tech shift to unlock lengthy creative bottlenecks and level the landscape for all. Enter Generative AI. As a senior applied scientist, you will have deep skills in fine-tuning foundational multi-modal text to video models (or fine-tuned existing ones). At the bare minimum, you know how a foundational model works from ideation to implementation! Having a diffusion background is preferred, but we can riff with you if you come with a GANs background. We're also happy if you've done some cool things with image generation or image editing. We have just raised significant investment from big AI players, with a burn rate of 7 years, and a single-digit million ARR, just ask about the existing client list. Offices in NYC & SF!

Applied Scientist (Senior/Staff/Principal) We are looking for a passionate and driven Research Scientist to join an impressive applied research company in the Bay Area. In this role, you will lead pioneering research efforts, design benchmarks, and develop advanced agent architectures. This position is perfect for someone eager to push the boundaries of AI and contribute to the development of innovative digital systems. Key Responsibilities: Conduct in-depth research and analyse scientific papers to inform new approaches. Design and implement benchmarks for assessing AI performance. Develop and refine agent architectures to drive cutting-edge advancements. Execute experiments to validate hypotheses and enhance system capabilities. Collaborate closely with a multidisciplinary team to align research efforts with strategic goals. Stay abreast of the latest breakthroughs in AI and related technologies. Skills and Qualifications: PhD in a computational or related field, with substantial research experience. Strong proficiency in programming (particularly Python) and machine learning. Deep knowledge of areas like computer vision, reinforcement learning, robotics, or NLP. Independent thinker with excellent problem-solving skills and a creative mindset. Ability to work collaboratively while bringing fresh ideas to complex challenges. For more information, please apply and we shall be in touch promptly! We look forward to hearing from you

Voltai's mission is to re-build the physical world through developing super-intelligence to accelerate the pace of hardware innovation. Our focus is to build frontier models that could understand one of the world's most complex technologies-semiconductors and electronics. About the Role We're looking for a Machine Learning Research Scientist who thinks crazy ideas are normal, doesn't take ‘No' as an answer, and thrives on the bursts of dopamine that come with startup responsibilities. As a Machine Learning Research Scientist, your ultimate goal will be to conduct cutting-edge research and build AI systems that deeply understand and innovate within the semiconductor and electronics domains, serving our customers 🙌. You will be responsible for developing new models, experimenting with novel architectures, and advancing the state of the art in AI for the semiconductor and electronics industries. Your work will involve both theoretical research and practical implementation, including designing and optimizing models, creating advanced algorithms, and publishing groundbreaking research. Key Responsibilities: Conduct original research in machine learning and AI with a focus on models that integrate multiple modalities. Develop, train, and fine-tune large language models (LLMs) and multi-modal models (MMMs). Explore and scale trillion-parameter neural networks, along with smaller, specialized models. Design and implement models capable of solving discrete and continuous constraint reasoning tasks and graph-related challenges. Develop and evaluate interconnected systems comprising LLMs, NLP models, and retrieval algorithms. Publish research findings in top AI conferences and journals, contributing to the academic and industry community. Collaborate with cross-functional teams to translate research outcomes into practical applications. Innovate and create data synthetically and collect it from human interactions for diverse tasks. Lead efforts in optimizing both open-source and proprietary models, considering various constraints. Required Skillsets: Strong background in machine learning, including sequence modeling, generative models, and model architecture. Expertise in Pytorch, Python, CUDA, and Triton. Proven research experience with a strong publication record in top AI conferences and journals. Deep understanding of pre-training and fine-tuning large multi-modal models. Experience implementing research papers into production code. Familiarity with the latest state-of-the-art techniques, including prompting and inference-time search methods. Experience in developing and managing large-scale machine learning systems. Proficiency in configuring and optimizing hardware and operating systems for maximum performance. Experience building distributed training systems for AI models in high-performance computing (HPC) clusters. Compensation Philosophy At Voltai, we believe that exceptional work deserves exceptional rewards. Our compensation structure is designed to reflect the value each team member brings to our pioneering efforts in the semiconductor and AI industries. For this role, we offer a highly competitive market-rate salary, tailored to the candidate's experience, expertise, and potential impact. Our approach ensures that compensation aligns with individual contributions and the long-term success of our mission. Our Benefits At Voltai, we believe in taking care of our team so they can focus on pushing the boundaries of innovation. Our benefits package is designed to support your well-being and fuel your professional growth. Unlimited PTO: We trust you to manage your time and know when you need a break. Recharge when you need it, no questions asked. Comprehensive Health Coverage: Your health matters. We offer top-tier medical and dental insurance to keep you and your loved ones covered. Commitment to Your Growth: At Voltai, we're dedicated to your continuous learning and development. Whether it's through challenging projects or opportunities for professional advancement, we invest in your journey to becoming a leader in your field. Visa Sponsorship: We support international talent and offer visa sponsorship to help you join our team, no matter where you are in the world.

Join Us as a Research Scientist in AI: Shape the Future of Collaborative AI! About Us Our mission is to strengthen the relationship between humans and AI, enabling collaborative capabilities that far exceed current possibilities. We're creating AI solutions that quickly learn, enhance productivity, and streamline complex workflows. By integrating human feedback with innovative technology, our models empower users to tackle challenging tasks and drive impactful results. The Role As a Research Scientist, you'll lead initiatives to enhance our models' performance, efficiency, and robustness after initial training. What You'll Be Working On Conduct and drive research projects focused on the post-training stage of our models, improving their practical capabilities and real-world effectiveness. Collaborate with product teams to align research outcomes with business needs, bridging the gap between technical innovation and customer impact. Design and execute experiments to enhance post-training model adaptability for enterprise applications. Develop synthetic datasets and create evaluations for real-world enterprise use cases. What We Are Looking For Strong research background in post-training optimization and fine-tuning of large language models, with familiarity in frameworks such as Megatron, DeepSpeed, or MaxText. A solid grasp of machine learning fundamentals and a practical, research-driven mindset. Proven experience in designing new ML methods or refining existing techniques. Proficiency in programming languages commonly used in ML research, particularly Python. Excellent analytical, problem-solving, and collaboration skills. A passion for building impactful technology in a fast-paced, hands-on environment. If you're ready to push the boundaries of AI and make a meaningful impact, we invite you to join our innovative team and help us redefine what's possible!

⚡ Staff Research Scientist / Engineer 💊 Biology Foundation Models ($100M+ Seed) 🌎 San Francisco Bay Area, USA 💸 $250,000 - $350,000 salary + bonus + equity Come join a revolutionary stealth biotech building interconnected Foundational Models across multiple modalities in biology and genomic discovery. Opportunity to join as a core member in a rapidly growing division, founded by A-listers in tech & academia. Seeking experts in modern AI methods & architectures - Generative Models, Diffusion, GNN, Flow Models, Self-Supervised Learning, Multimodality etc. Responsibilities: Design, develop and train novel AI models for a multimodal approach to biodiscovery Research and iterate models to ensure optimal-performance data transformation Navigate the latest literature and fine-tune models geared towards biological breakthroughs Proactively impact the roadmap & talent onboarding for their development Requirements: MS or PhD in Comp Sci/ML, Chem, Bio or related field 5+ years development & training of LLM/Diffusion/GNN models for 7-70b param models Experience in computational packages applied to chem/bio (bonus) Proficiency in leveraging high compute GPU clusters Why apply: Opportunity to build out a new division at the forefront of AI innovation FAANG competitive salary & package Work alongside superstars from FAANG, Genentech & AI pioneering companies Medical, Dental and Vision Insurance Relocation package available 🌎 San Francisco Bay Area, USA 📧 Interested in applying? Please click on the ‘Easy Apply' button or alternatively email me your resume at *********************** ⚡ Storm3 is a HealthTech recruitment firm with clients across major Tech hubs in Europe, APAC and North America. To discuss open opportunities or career options, please visit our website at storm3.com and follow the Storm3 LinkedIn page for the latest jobs and int el

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day, our members use our products to make connections, discover opportunities, build skills, and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters at the cutting edge of AI. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Job Description: As a Staff AI Scientist, you will play a pivotal role in advancing LinkedIn's efforts in cutting-edge AI research and development, focusing on large-scale foundation models and AI innovations. You will specialize in developing, training, and optimizing foundation models, including Large Language Models (LLMs), utilizing state-of-the-art deep learning architectures such as multi-billion parameter transformers and scaling them to serve LinkedIn's global user base. Your work will involve the design and deployment of high-performance AI systems, leveraging GPUs and other hardware accelerators for large-scale training and inference. You will collaborate with a world-class team of researchers and engineers to develop and advance the next generation of AI models to push the boundaries of AI at scale, working on complex problems such as distributed training, model parallelism, and system co-design. A successful candidate will be comfortable operating at the intersection of AI research and engineering, with a deep understanding of the latest advancements including but not limited to large model training, post-training techniques for planning and reasoning, fine-tuning strategies, reinforcement learning techniques. Responsibilities: • Lead and contribute to the research, design, and development of large-scale foundation AI models, focusing on LLMs, transformer architectures, and cutting-edge AI systems. • Publish the findings and innovations as the latest academic and industry research in top notch core AI venues such as ICML, NeurIPS, ICLR, ACL,, patents, and conferences as appropriate. • Stay abreast of the latest academic and industry research, applying relevant findings to improve LinkedIn's AI capabilities. • Innovate in large-scale model training, leveraging GPUs and specialized hardware for optimal performance. • Develop and maintain scalable AI pipelines, optimizing training and inference workflows to handle vast amounts of data. • Mentor junior engineers and contribute to team growth and knowledge sharing. • Collaborate with cross-functional teams of machine learning engineers, infrastructure engineers, and AI researchers to deliver impactful AI innovations across LinkedIn's products. Basic Qualifications: • Bachelor's degree in Computer Science or related technical field or equivalent practical experience • 4+ years of experience with programming languages such as Java, Python, etc. • 4+ years of experience in machine learning or AI engineering. • 4+ years of experience in the design and development of algorithmic solutions. Preferred Qualifications: • 6+ years of hands-on experience in large-scale model training, model-system co-design, or large AI systems. • PhD in Computer Science, Machine Learning, or a related technical discipline with a focus on advanced AI/ML techniques • Proven experience in building and optimizing large-scale AI/ML models using frameworks such as PyTorch, PySpark, and CUDA. • Proven track record of publications in top notch core AI venues including but not limited to ICML, NeurIPS, ICLR, ACL. • Expertise in distributed training, model parallelism, and hardware acceleration for AI workloads, including GPUs and TPUs. • Demonstrated ability to solve complex AI challenges in large-scale environments, optimizing models for efficiency and scalability. • Strong proficiency in AI system design, model optimization, and the development of production-quality AI pipelines. • Published work in AI research or significant contributions to industry-leading AI technologies. • Excellent communication skills and a demonstrated sense of ownership over key AI projects. Suggested Skills: • Large Language Models (LLM) • Generative AI (GAI) • AI Research and Development • GPU and Hardware Acceleration • Distributed AI Systems and Model Parallelism • You Will Benefit From Our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $164,000 - $268,000. Actual compensation packages are based on several factors unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include an annual performance bonus, stock, benefits, and/or other applicable incentive compensation plans. For more information, visit LinkedIn Benefits. Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. 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Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn 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 LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

We are seeking a talented and dynamic Decision Scientist with strong expertise in Tableau and SQL to join our dynamic team. The candidate will leverage a mix of data engineering, analytics, dashboarding and storytelling to derive actionable insights and help improve customer experience across digital journeys. Our ideal candidate is someone who is proficient at execution, adept at managing timelines and roadmaps and is constantly looking to innovate and automate to bring greater efficiencies and drive strong business outcomes Key Responsibilities: Extract, process, and analyze large datasets from multiple sources to identify trends and patterns. Create and maintain visually compelling dashboards and reports using Tableau to present insights to stakeholders. Develop compelling presentations on Keynote to communicate strategic insights to leadership Collaborate with cross-functional teams to understand business needs and translate them into data solutions. Perform exploratory data analysis (EDA) and apply statistical techniques for hypothesis testing. Optimize data models and enhance data processing pipelines for efficiency and scalability. Communicate findings clearly to both technical and non-technical audiences. Stay updated with the latest trends and advancements in data analytics and visualization. Identify growth opportunities in form of automation, new solutions, enhancements etc. and follow an agile approach to translate ideas into outcomes Required Qualifications: Master's degree in Data Science, Computer Science, Statistics, or a related field, or equivalent work experience. Proven experience with data visualization and storytelling. Proficiency in Tableau for creating dashboards, reports, and data models. Strong skills in SQL for data extraction and manipulation, with a strong emphasis on self-driven and structured quality check process Familiarity with data integration tools and ETL processes. Excellent analytical, problem-solving, and communication skills. Excellent at cross-functional collaboration working with global teams, as well as independent execution and proactive management of timelines and dependencies (Strongly preferred) Experience with digital analytics (Adobe Workspace or Google Analytics) (Good to have) Hands-on experience with programming languages such as Python or R. (Good to have) Solid understanding of statistical methods and machine learning algorithms.

More Data. Faster. Global data volume traffic has been growing exponentially. The onset of AI applications is expected to make this worse. New insulator technology that enables higher frequency data transmission at lower power consumption is required to scale AI infrastructure, starting with the data center fabric. By synthesizing expertise in bottom-up Molecular Design, Computational Mechanics, and Electrical Engineering, Thintronics is unifying and optimizing the high-speed interconnect insulator, from silicon-to-system, enabling the highest data rates at the lowest power. Thintronics is a start-up company located in Alameda, CA. We are a team of chemists, materials scientists, and engineers shaping the future of data and devices. We offer an exciting start-up environment at the interface of R&D, machine learning-aided product design, manufacturing, and rapid market implementation. Job Role - Who We Want Thintronics is looking for a detail-oriented and enthusiastic research associate to join our manufacturing team. This role focuses on designing and executing experiments on manufacturing equipment (material handling, coating and converting line), and characterization at every stage of the processing. In this position, you will work closely with R&D to deepen our understanding of the core Thintronics technology and develop the manufacturing process of our products. As part of a start-up team, you will wear many hats. We are looking for someone with a “can-do” attitude, who is excited about the opportunity to develop a broad range of practical skills and is enthusiastic about their own exploration. Roles and responsibilities are collaborative and may evolve based on the needs of our quickly growing company as well as your skillset/interests. Minimum Qualifications: B.S. in Chemistry, Chemical Engineering, Materials Science, or related discipline Rigorous attention to detail with experimental design, execution, and recordkeeping Strong analytical, organizational, teamwork, and time management skills Able to juggle multiple tasks efficiently whilst ensuring safety remains a top priority Must be able to move up to 50 pounds Preferred Qualifications: Experience operating or maintaining R&D or manufacturing equipment including pumps, mixers, dispersers, coaters, converters, slitters, and sheeters Experience with slot-die coaters or any other wet coating machines 1-5 years of relevant industry experience Experience with polymers and flammable solvents Preference will go to local candidates Level of research associate (I, II, III) will depend on overall qualifications and years of experience. Compensation/Benefits Competitive Bay Area salary 100% employee coverage for Health/Vision/Dental Insurance Unlimited PTO policy + Company Holidays Equity/Stock Options Interested Candidates: Please submit your resume via email to: *********************** with “Manufacturing Associate Candidate” as the subject line.

We are working on behalf of a top performing trading firm, who are looking for a Senior Quantitative Researcher to partner with the Senior Portfolio Manager to create alpha from various data sources for the systematic trading of global multi-asset class strategies. Location Berkeley, CA (open to US-based candidates) Principal Responsibilities Work alongside the Senior Portfolio Manager on building prediction and portfolio optimisation pipelines: Understand the potential prediction power from the data source and identify alphas Develop state-of-the-art ML algorithms for prediction and optimisation Performing various statistical analysis to ensure the robustness Mentor and guide junior team members Combine sound financial insights and statistical learning techniques to explore, analyze, and harness a large variety of datasets Aid in developing and extending the team's proprietary research platform Collaborate with the PM and the trading group in a transparent environment, engaging with the whole investment process Stay current on state-of-the-art technologies and tools including technical libraries, computing environments and academic research Preferred Technical Skills Strongly skilled in Python and R (Pandas, NumPy, TensorFlow, PyTorch, etc.) Ph.D. degree in Computer Science, Mathematics, Statistics, or related STEM field from top ranked University Demonstrated knowledge of quantitative finance, mathematical modelling, statistical analysis, regression, and probability theory Excellent communication, problem-solving, and analytical skills, with the ability to quickly understand and apply complex concepts Experience and success working with large and diverse data sets Preferred Experience 4+ years of experience working in a systematic trading environment 4+ years of hands-on experience working with multiple vendor data sets and, in particular, manipulating data (assessing, cleaning, creating features, etc.) Established alpha research pipeline with production grade output Strong experience in evaluating alphas with statistical methods Experience collaborating effectively with cross-functional teams, multitasking and adapting in a fast-paced environment Highly Valued Relevant Experience Experience working with big data sets Experience working in an autonomous, fast-paced environment

Currently looking for a Research Scientist to join one of the most exciting startups in the market right now. They're building an AI model capable of performing on the same level as a human engineer, capable of quantitive reasoning. They're pitching themselves as an AGI business rather than your typical AI startup. Founded by 4 extremely experienced co-founders, excluding the ex CTO of two FTSE 500 companies, who has also previously excited startups. The Head of AI is ex-deepmind and microsoft and is one of the most respected engineers within the industry (you've probably read his research or code before). This is an equity heavy role, with a base of $200k which will progress quickly as the company grows. If you have strong experience post training models, please apply!

Backed by T1 AI investors (Andreeson Horowitz), you will join a crack research team of ex Skolkovo Institute of Science and Technology, Stanford, Google, Intel, Salesforce) to build a multimodal text to video application for real-time retail. They are playing in a $13 trillion industry and are reacting to fashion's landscape, shaped by a relentless pursuit of speed, creativity, and the continuous renewal of trends. Most brands are hindered by manual workflows, juggling disparate tools. This startup has anticipated a tech shift to unlock lengthy creative bottlenecks and level the landscape for all. Enter Generative AI. As a senior applied scientist, you will have deep skills in fine-tuning foundational multi-modal text to video models (or fine-tuned existing ones). At the bare minimum, you know how a foundational model works from ideation to implementation! Having a diffusion background is preferred, but we can riff with you if you come with a GANs background. We're also happy if you've done some cool things with image generation or image editing. We have just raised significant investment from big AI players, with a burn rate of 7 years, and a single-digit million ARR, just ask about the existing client list. Offices in NYC & SF!

Applied Scientist (Senior/Staff/Principal) We are looking for a passionate and driven Research Scientist to join an impressive applied research company in the Bay Area. In this role, you will lead pioneering research efforts, design benchmarks, and develop advanced agent architectures. This position is perfect for someone eager to push the boundaries of AI and contribute to the development of innovative digital systems. Key Responsibilities: Conduct in-depth research and analyse scientific papers to inform new approaches. Design and implement benchmarks for assessing AI performance. Develop and refine agent architectures to drive cutting-edge advancements. Execute experiments to validate hypotheses and enhance system capabilities. Collaborate closely with a multidisciplinary team to align research efforts with strategic goals. Stay abreast of the latest breakthroughs in AI and related technologies. Skills and Qualifications: PhD in a computational or related field, with substantial research experience. Strong proficiency in programming (particularly Python) and machine learning. Deep knowledge of areas like computer vision, reinforcement learning, robotics, or NLP. Independent thinker with excellent problem-solving skills and a creative mindset. Ability to work collaboratively while bringing fresh ideas to complex challenges. For more information, please apply and we shall be in touch promptly! We look forward to hearing from you

Join Us as a Research Scientist in AI: Shape the Future of Collaborative AI! About Us Our mission is to strengthen the relationship between humans and AI, enabling collaborative capabilities that far exceed current possibilities. We're creating AI solutions that quickly learn, enhance productivity, and streamline complex workflows. By integrating human feedback with innovative technology, our models empower users to tackle challenging tasks and drive impactful results. The Role As a Research Scientist, you'll lead initiatives to enhance our models' performance, efficiency, and robustness after initial training. What You'll Be Working On Conduct and drive research projects focused on the post-training stage of our models, improving their practical capabilities and real-world effectiveness. Collaborate with product teams to align research outcomes with business needs, bridging the gap between technical innovation and customer impact. Design and execute experiments to enhance post-training model adaptability for enterprise applications. Develop synthetic datasets and create evaluations for real-world enterprise use cases. What We Are Looking For Strong research background in post-training optimization and fine-tuning of large language models, with familiarity in frameworks such as Megatron, DeepSpeed, or MaxText. A solid grasp of machine learning fundamentals and a practical, research-driven mindset. Proven experience in designing new ML methods or refining existing techniques. Proficiency in programming languages commonly used in ML research, particularly Python. Excellent analytical, problem-solving, and collaboration skills. A passion for building impactful technology in a fast-paced, hands-on environment. If you're ready to push the boundaries of AI and make a meaningful impact, we invite you to join our innovative team and help us redefine what's possible!

⚡ Staff Research Scientist / Engineer 💊 Biology Foundation Models ($100M+ Seed) 🌎 San Francisco Bay Area, USA 💸 $250,000 - $350,000 salary + bonus + equity Come join a revolutionary stealth biotech building interconnected Foundational Models across multiple modalities in biology and genomic discovery. Opportunity to join as a core member in a rapidly growing division, founded by A-listers in tech & academia. Seeking experts in modern AI methods & architectures - Generative Models, Diffusion, GNN, Flow Models, Self-Supervised Learning, Multimodality etc. Responsibilities: Design, develop and train novel AI models for a multimodal approach to biodiscovery Research and iterate models to ensure optimal-performance data transformation Navigate the latest literature and fine-tune models geared towards biological breakthroughs Proactively impact the roadmap & talent onboarding for their development Requirements: MS or PhD in Comp Sci/ML, Chem, Bio or related field 5+ years development & training of LLM/Diffusion/GNN models for 7-70b param models Experience in computational packages applied to chem/bio (bonus) Proficiency in leveraging high compute GPU clusters Why apply: Opportunity to build out a new division at the forefront of AI innovation FAANG competitive salary & package Work alongside superstars from FAANG, Genentech & AI pioneering companies Medical, Dental and Vision Insurance Relocation package available 🌎 San Francisco Bay Area, USA 📧 Interested in applying? Please click on the ‘Easy Apply' button or alternatively email me your resume at *********************** ⚡ Storm3 is a HealthTech recruitment firm with clients across major Tech hubs in Europe, APAC and North America. To discuss open opportunities or career options, please visit our website at storm3.com and follow the Storm3 LinkedIn page for the latest jobs and int el

Join Us as a Research Scientist in AI: Shape the Future of Collaborative AI! About Us Our mission is to strengthen the relationship between humans and AI, enabling collaborative capabilities that far exceed current possibilities. We're creating AI solutions that quickly learn, enhance productivity, and streamline complex workflows. By integrating human feedback with innovative technology, our models empower users to tackle challenging tasks and drive impactful results. The Role As a Research Scientist, you'll lead initiatives to enhance our models' performance, efficiency, and robustness after initial training. What You'll Be Working On Conduct and drive research projects focused on the post-training stage of our models, improving their practical capabilities and real-world effectiveness. Collaborate with product teams to align research outcomes with business needs, bridging the gap between technical innovation and customer impact. Design and execute experiments to enhance post-training model adaptability for enterprise applications. Develop synthetic datasets and create evaluations for real-world enterprise use cases. What We Are Looking For Strong research background in post-training optimization and fine-tuning of large language models, with familiarity in frameworks such as Megatron, DeepSpeed, or MaxText. A solid grasp of machine learning fundamentals and a practical, research-driven mindset. Proven experience in designing new ML methods or refining existing techniques. Proficiency in programming languages commonly used in ML research, particularly Python. Excellent analytical, problem-solving, and collaboration skills. A passion for building impactful technology in a fast-paced, hands-on environment. If you're ready to push the boundaries of AI and make a meaningful impact, we invite you to join our innovative team and help us redefine what's possible!

Currently looking for a Research Scientist to join one of the most exciting startups in the market right now. They're building an AI model capable of performing on the same level as a human engineer, capable of quantitive reasoning. They're pitching themselves as an AGI business rather than your typical AI startup. Founded by 4 extremely experienced co-founders, excluding the ex CTO of two FTSE 500 companies, who has also previously excited startups. The Head of AI is ex-deepmind and microsoft and is one of the most respected engineers within the industry (you've probably read his research or code before). This is an equity heavy role, with a base of $200k which will progress quickly as the company grows. If you have strong experience post training models, please apply!

Applied Scientist (Senior/Staff/Principal) We are looking for a passionate and driven Research Scientist to join an impressive applied research company in the Bay Area. In this role, you will lead pioneering research efforts, design benchmarks, and develop advanced agent architectures. This position is perfect for someone eager to push the boundaries of AI and contribute to the development of innovative digital systems. Key Responsibilities: Conduct in-depth research and analyse scientific papers to inform new approaches. Design and implement benchmarks for assessing AI performance. Develop and refine agent architectures to drive cutting-edge advancements. Execute experiments to validate hypotheses and enhance system capabilities. Collaborate closely with a multidisciplinary team to align research efforts with strategic goals. Stay abreast of the latest breakthroughs in AI and related technologies. Skills and Qualifications: PhD in a computational or related field, with substantial research experience. Strong proficiency in programming (particularly Python) and machine learning. Deep knowledge of areas like computer vision, reinforcement learning, robotics, or NLP. Independent thinker with excellent problem-solving skills and a creative mindset. Ability to work collaboratively while bringing fresh ideas to complex challenges. For more information, please apply and we shall be in touch promptly! We look forward to hearing from you

Backed by T1 AI investors (Andreeson Horowitz), you will join a crack research team of ex Skolkovo Institute of Science and Technology, Stanford, Google, Intel, Salesforce) to build a multimodal text to video application for real-time retail. They are playing in a $13 trillion industry and are reacting to fashion's landscape, shaped by a relentless pursuit of speed, creativity, and the continuous renewal of trends. Most brands are hindered by manual workflows, juggling disparate tools. This startup has anticipated a tech shift to unlock lengthy creative bottlenecks and level the landscape for all. Enter Generative AI. As a senior applied scientist, you will have deep skills in fine-tuning foundational multi-modal text to video models (or fine-tuned existing ones). At the bare minimum, you know how a foundational model works from ideation to implementation! Having a diffusion background is preferred, but we can riff with you if you come with a GANs background. We're also happy if you've done some cool things with image generation or image editing. We have just raised significant investment from big AI players, with a burn rate of 7 years, and a single-digit million ARR, just ask about the existing client list. Offices in NYC & SF!

⚡ Staff Research Scientist / Engineer 💊 Biology Foundation Models ($100M+ Seed) 🌎 San Francisco Bay Area, USA 💸 $250,000 - $350,000 salary + bonus + equity Come join a revolutionary stealth biotech building interconnected Foundational Models across multiple modalities in biology and genomic discovery. Opportunity to join as a core member in a rapidly growing division, founded by A-listers in tech & academia. Seeking experts in modern AI methods & architectures - Generative Models, Diffusion, GNN, Flow Models, Self-Supervised Learning, Multimodality etc. Responsibilities: Design, develop and train novel AI models for a multimodal approach to biodiscovery Research and iterate models to ensure optimal-performance data transformation Navigate the latest literature and fine-tune models geared towards biological breakthroughs Proactively impact the roadmap & talent onboarding for their development Requirements: MS or PhD in Comp Sci/ML, Chem, Bio or related field 5+ years development & training of LLM/Diffusion/GNN models for 7-70b param models Experience in computational packages applied to chem/bio (bonus) Proficiency in leveraging high compute GPU clusters Why apply: Opportunity to build out a new division at the forefront of AI innovation FAANG competitive salary & package Work alongside superstars from FAANG, Genentech & AI pioneering companies Medical, Dental and Vision Insurance Relocation package available 🌎 San Francisco Bay Area, USA 📧 Interested in applying? Please click on the ‘Easy Apply' button or alternatively email me your resume at *********************** ⚡ Storm3 is a HealthTech recruitment firm with clients across major Tech hubs in Europe, APAC and North America. To discuss open opportunities or career options, please visit our website at storm3.com and follow the Storm3 LinkedIn page for the latest jobs and int el