Principal Scientist Analytical Development & Quality Control, Small Molecule RetroPrincipal Scientist Analytical Development & Quality Control, Small MoleculeRedwood City, CADrive analytical control strategy development for Retro’s small molecule autophagy program, including drug substance and drug product methods, specifications, stability, impurity control, and regulatory support. As the primary AD/QC scientist for our small molecule program, you will lead the analytical strategy for drug substance and drug product, working closely with the Program Lead, CMC Lead, QA, and external CDMOs and CROs.
NewResearch Scientist, Social Simulation and Agents, DeepMind Google LLCResearch Scientist, Social Simulation and Agents, DeepMindMountain View, CAYou will join an interdisciplinary team of domain experts, machine learning researchers, social scientists, and engineers to conduct cutting-edge research and advance the next generation of computational frameworks that simulate human social behavior at scale to advance societal health. Key responsibilities include formulating metrics and validation methods, developing frameworks for multimodal environments, collaborating with product teams to drive research, and publishing high-impact research in top AI and social science venues.
Applied Research Scientist Advanced Micro Devices, IncApplied Research ScientistSan Jose, CaliforniaThe ideal candidate will have expertise and hands-on experience on training LLMs, LMMs, and/or diffusion models., familiar with hyper-parameter tuning techniques, data preprocessing, tokenization methods and latest training approaches for LLMs, LMMs, and diffusion models. Do you like to design and implement novel research ideas, improve the quality of the large language/multimodal models, accelerate the training and inference speed of LLMs, LMMs, and image/video generation models, and influence future hardware and software direction?
AI Research Scientist, Hardware AI Systems Advanced Micro Devices, IncAI Research Scientist, Hardware AI SystemsSanta Clara, CaliforniaWe are hiring a AI Research Scientist, Hardware AI Systems , to develop AI systems that generalize across hardware engineering contexts, different SoC programs, toolchains, process nodes, and teams, without bespoke retraining for every program. You will work on metareasoning (when to call which tool or simulator), representation learning across flows (RTL, verification, physical design), and learning under high- or mixed-latency rewards typical of silicon signoff.
AI Research Scientist, Recursive Self Improvement, AI Safety and Reinforcement Learning Advanced Micro Devices, IncAI Research Scientist, Recursive Self Improvement, AI Safety and Reinforcement LearningSanta Clara, CaliforniaWe are hiring an AI Research Scientist, Recursive Self Improvement, AI Safety and Reinforcement Learning focused on recursive self-improvement (RSI) in a bounded, engineering-first sense: systems where models, data generators, or toolchains participate in improving their own training signals, curricula, or verification—always under explicit governance, kill switches, and human oversight. synthetic data quality, targeted self-play, automated curriculum refinement) versus when they amplify bias or reward hacking, and you will design measurement and containment so RSI-style pipelines remain auditable and safe for AMD’s AI-for-HW and generative-AI programs.
Research Scientist - I Integrated Resources, IncResearch Scientist - IHayward, CaliforniaFull timeMust demonstrate hands on experience in cell-culture methods, blood based assays, cellular assays, immunoassays, bead based assays and flow cytometry or microscopy methods. • Design complete solutions spanning assays, instruments and assays optimize assay conditions, improve product design and related processes and procedures, and troubleshoot technical issues.
Research Scientist Integrated Resources, IncResearch ScientistFoster City, CaliforniaFull timeThe successful candidate must be self-motivated and detail-oriented, exhibit excellent organizational and communication skills, demonstrate the ability to manage multiple priorities and work under tight timelines, thrive with a high degree of responsibility, and a proficient team-player. He/she will work closely with internal groups as well as external collaborators to identify and validate novel drug targets in the areas of oncology, fibrosis, virology, and inflammation.
NewClinical Research Scientist - I* Leadstack IncClinical Research Scientist - I*Foster City, CARemote$100–$129 / hourClinical Scientist Consultant SME Level - Neurology Pivotal Studies Support the planning and execution of neurology clinical programs, including CIDP, through: Review of adjudication charters, endpoint assessment manuals, and related operational plans. As a recognized industry leader in contingent workforce solutions and Certified as a Great Place to Work, we're proud to partner with some of the most admired Fortune 500 brands in the world.
Research Scientist, Post-Training datologyaiResearch Scientist, Post-TrainingRedwood City, CA$180,000–$300,000 / yearTraining on curated data can dramatically reduce training time and cost (7-40x faster training depending on the use case), dramatically increase model performance as if you had trained on >10x more raw data without increasing the cost of training, and allow smaller models with fewer than half the parameters to outperform larger models despite using far less compute at inference time, substantially reducing the cost of deployment. We raised a total of $57.5M in two rounds, a Seed and Series A. Our investors include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and AI visionaries like Geoff Hinton, Yann LeCun, Jeff Dean, and many others who deeply understand the importance and difficulty of identifying and optimizing the best possible training data for models.
Research Scientist datologyaiResearch ScientistRedwood City, CA$180,000–$300,000 / yearTraining on curated data can dramatically reduce training time and cost (7-40x faster training depending on the use case), dramatically increase model performance as if you had trained on >10x more raw data without increasing the cost of training, and allow smaller models with fewer than half the parameters to outperform larger models despite using far less compute at inference time, substantially reducing the cost of deployment. We raised a total of $57.5M in two rounds, a Seed and Series A. Our investors include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and AI visionaries like Geoff Hinton, Yann LeCun, Jeff Dean, and many others who deeply understand the importance and difficulty of identifying and optimizing the best possible training data for models.
Research Scientist, AI CZ BiohubResearch Scientist, AIRedwood City, CA$214,000–$375,000 / yearBuild post-training systems that drive biological discovery: RL, reward modeling, reasoning, and multi-agent orchestration for long-horizon scientific tasks. The future anticipated Redwood City, CA, and New York City, NY base pay range for a role in this field is $214,000 to $375,000 annually.
Materials Research Scientist/Engineer SRI InternationalMaterials Research Scientist/EngineerMenlo Park, California$115,710–$172,115 / yearFull timeFrom the computer mouse to robotic surgery, cancer treatments, and more, SRI’s 75 years of innovation have created new industries, billions of dollars in market value, and lasting benefits to society. For more than 75 years, we have collaborated across technical and scientific disciplines to discover and develop groundbreaking products and technologies and bring innovations and ideas to the marketplace.
Research Scientist Institute of Foundation ModelsResearch ScientistSunnyvale, CaliforniaYou will proactively identify, collect, and organize datasets that enable LLMs to perform complex reasoning tasks, while also developing scalable systems and tooling that integrate cutting-edge research with robust engineering. The Role As a Research Scientist with a focus on data-centric large language model (LLM) development, your role will center on advancing the frontiers of how LLMs reason, retrieve, and interact with external information sources.
World Model Research Scientist- Physical AI KodiakWorld Model Research Scientist- Physical AIMountain View, CaliforniaShould the position require, and Kodiak determines that a candidate’s residence, U.S. person status, and/or citizenship status necessitate an export license, bar the candidate from the position, or otherwise fall under national security-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak’s sole discretion, or, as an alternative, opt not to proceed with the candidate’s application. We are looking for a research scientist to lead the design and development of world models capable of generating multi-sensor, multi-view, temporally coherent driving scenarios conditioned on actions, 3D scene context, and text.
NewAI Research Scientist, Reinforcement Learning (LLM) and Post-Training Advanced Micro Devices, IncAI Research Scientist, Reinforcement Learning (LLM) and Post-TrainingSanta Clara, CaliforniaWe are hiring a AI Research Scientist, Reinforcement Learning (LLM) and Post-Training , specializing in reinforcement learning to advance post-training and interactive learning for large generative models applied to demanding engineering and hardware-adjacent tasks (code, optimization, tool use, and long-horizon decision making). You will invent and analyze RL algorithms—policy optimization, preference-based methods, exploration, credit assignment, and reward modeling—run rigorous empirical studies, and partner with infra and product teams to land methods that improve measurable task success without sacrificing stability or safety.
NewResearch Scientist Far.AiResearch ScientistBerkeley, CaliforniaWe help steer and grow the AI safety field through developing research roadmaps with renowned researchers such as Yoshua Bengio; running FAR.Labs , an AI safety-focused co-working space in Berkeley housing 40 members; and supporting the community through targeted grants to technical researchers. Infrastructure: Maintaining GPU compute infrastructure to support experiments with open-weight models and developing new tooling to allow our research teams to scale their fine-tuning and post-training workflows to frontier open-weight models.
Member of Technical Staff, TLM: Research Scientist OdysseyMember of Technical Staff, TLM: Research ScientistPalo Alto, CaliforniaOdyssey has raised significant venture capital from GV, Amazon, AMD, EQT, NVIDIA, Natural Capital, In-Q-Tel, Elad Gil, Jeff Dean, Guillermo Rauch, Garry Tan, Kyle Vogt, and researchers from OpenAI, DeepMind, MSL, Recursive, and Thinking Machines. They’ve now brought together a world-class research team from DeepMind, Tesla, Waymo, Meta, Apple, and Wayve, who have made significant contributions to language models (DeepMind Gemini), video models (DeepMind Veo), world models (Wayve GAIA), and autonomous systems (Tesla FSD).
Senior Research Scientist, Human‑Ai Perception And Interaction NvidiaSenior Research Scientist, Human‑Ai Perception And InteractionSanta Clara, CAA track record of applying human behavior models to machine learning applications, or applying machine learning to understand or model human behavior. Excellent track record of publications in top-tier conferences (SIGGRAPH, CHI, HRI, ICRA, NeurIPS, ICLR, ICML, CVPR, ICCV, ECCV, CoG, ETRA, etc.).
NewResearch Scientist ResolutionResearch ScientistBerkeley, CaliforniaWe invest heavily in research automation to accelerate progress, and we believe that stronger alignment theory unlocks higher automation: more principled approaches give us better filters for which directions of automated research are promising. Experience with AI alignment is a plus, but is not a requirement: we are excited to bring experienced researchers from other fields into alignment work, and we see our ability to facilitate that transition as one of Resolution's comparative advantages.
NewSenior Research Scientist, Circuits NvidiaSenior Research Scientist, CircuitsSanta Clara, CADepth in one or more areas of high-performance circuit design (PLLs and clocking, SerDes and high-speed signaling, photonics, SRAMs, power delivery/regulation, security circuits, and high-speed logic). NVIDIA Research is seeking world-class circuit researchers to contribute to the exploration of future high-performance, low-power circuit technologies and development of prototype circuits.