2026 Intern, Phd Research Scientist Waabi2026 Intern, Phd Research ScientistSan Francisco, CA$60–$65 / hourWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. Be encouraged to submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.), post to our company blog.
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.
Lead AI Research Scientist, Hardware AI Systems Advanced Micro Devices IncLead AI Research Scientist, Hardware AI SystemsSanta Clara, CATHE ROLE: We are hiring a Lead 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. PREFERRED EXPERIENCE: Deep technical expertise and proven research experience in machine learning (ML), with emphasis on transfer learning, meta-learning, intelligent agents, and long-horizon reinforcement learning (RL).
Synthetic Biologist - Research Scientist Lawrence Livermore National LaboratorySynthetic Biologist - Research ScientistLivermore, CA$146,340–$185,544 / yearThe successful candidate will join a multidisciplinary team developing novel, designed proteins and microbes for national security applications, including critical material recovery, under the direction of Dan Park and Sean Leonard. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow.
NewAI Research Scientist, Reinforcement Learning (LLM) and Post-Training Advanced Micro Devices IncAI Research Scientist, Reinforcement Learning (LLM) and Post-TrainingSanta Clara, CATHE ROLE: We 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.
Research Scientist, Gemini Safety DeepMindResearch Scientist, Gemini SafetyMountain View, CAIn order to set you up for success as a Research Scientist on the Gemini Safety team we look for the following skills and experience: PhD in Computer Science, a related field, or equivalent practical experience. Key responsibilities: Post-training / instruction tuning state of the art LLMs, focusing on text-to-text, image/video/audio-to-text modalities and agentic capabilities.
Research Engineer / Research Scientist - Personal AGI, Memory OpenAI LLCResearch Engineer / Research Scientist - Personal AGI, MemorySan Francisco, CAFor unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. We build general-purpose memory and personalization capabilities that transfer across ChatGPT and other agentic products, and we collaborate with applied engineering on the product surfaces that allow users to interact with memory.
Research Engineer / Research Scientist - Personal AGI, Personalization OpenAI LLCResearch Engineer / Research Scientist - Personal AGI, PersonalizationSan Francisco, CAFor unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. We build general-purpose memory and personalization capabilities that transfer across ChatGPT and other agentic products, and we collaborate with applied engineering on the product surfaces that allow users to interact with memory.
Senior Quantum Error Correction Research Scientist, Applied Research NvidiaSenior Quantum Error Correction Research Scientist, Applied ResearchSanta Clara, CAAs a Senior Quantum Error Correction Research Scientist for Quantum Computing Applied Research, you'll focus on technical pathfinding, helping to develop innovative technologies that advance the state of Fault-Tolerant Quantum Computing for Accelerated Quantum Supercomputers, and work with multi-functional teams in Product, Engineering and Applied Research. What you'll be doing: Path-find technical innovations in Quantum Error Correction and Fault Tolerance, working with multi-functional teams in Product, Engineering, and Applied Research.
Research Scientist, Human‑Ai Perception And Interaction Research - Phd New College Grad 2026 NvidiaResearch Scientist, Human‑Ai Perception And Interaction Research - Phd New College Grad 2026Santa 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.).
Staff Research Scientist - Physical AI / Multimodality Snowflake IncStaff Research Scientist - Physical AI / MultimodalityMenlo Park, CA$236,000–$339,200 / yearAS A STAFF RESEARCH SCIENTIST YOU WILL: Design and build scalable training infrastructure for representation models (e.g., contrastive and self-supervised approaches like CLIP/SigLIP, DINO/MAE, and joint-embedding predictive architectures). BONUS POINTS FOR THE FOLLOWING: Experience with latent dynamics modeling, model-based RL, or physics-informed neural networks (GraphCast, FourCastNet, AlphaFold-style architectures).
Research Scientist, Frontier Risk Evaluations Scale AI IncResearch Scientist, Frontier Risk EvaluationsSan Francisco, CA$216,000–$270,000 / yearFor example, you might do any or all of the following: Design and build harnesses to test AI models and systems (including agents) for dangerous capabilities such as security vulnerability exploitation, CBRN uplift, and other high-risk activities; Work with government agencies or other labs to collectively scope and design evaluations to measure and mitigate risks posed by advanced AI systems; Publish evaluation methodologies and write technical reports for policymakers. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training.
Applied Research Scientist, Proactive Intelligence, - Agentic Systems and Generative Modeling Apple IncApplied Research Scientist, Proactive Intelligence, - Agentic Systems and Generative ModelingCupertino, CAStrong programming skills in Python and/or C++ with 3+ years of experience in using these languages for machine learning (ML) modeling and applied research M.S. or PhD in Computer Science, or a related fields such as Electrical Engineering, Robotics, Statistics, Applied Mathematics or equivalent experience. The ideal candidate for this role will have industry experience working on a range of modeling problems, including Sequential Decision Making, Reinforcement Learning, Autonomous Systems, Learning from Human Preferences and Training Large Language Models (LLMs).
Research Scientist, AI SubstrateResearch Scientist, AISan Francisco, California$150,000–$275,000 / yearThis role sits at the intersection of cutting-edge physics and artificial intelligence, and you'll work hands-on to develop AI-augmented tools that enable breakthrough research, and build the infrastructure and expertise that empowers our technical teams to leverage AI in their own work. As a Research Scientist working with AI, you will accelerate and augment R&D workflows by applying machine learning to scientific simulations and modeling while simultaneously building internal AI capabilities across the organization.
Research Scientist, Agent Robustness Scale AI IncResearch Scientist, Agent RobustnessSan Francisco, CA$197,400–$246,750 / yearFor example, you might: Research the science of AI agent capabilities with a focus on how they relate to safety, risk factors, and methodologies for benchmarking them; Design and build harnesses to test AI agents' tendency to take harmful actions when pressured to do so by users or tricked into doing so by elements of their environment; Design and build exploits and mitigations for new and unique failure modes that arise as AI agents gain affordances like coding, web browsing, and computer use; Characterize and design mitigations for potential failure modes or broader risks of systems involving multiple interacting AI agents. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.
Research Scientist, Safety Post Training Scale AI IncResearch Scientist, Safety Post TrainingSan Francisco, CA$216,000–$270,000 / yearThe range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. As a Research Scientist working on Safety Post-Training you will develop and apply post-training methods and interpretability techniques to make frontier AI systems safer, and better understood by researchers and policymakers.
Research Scientist - 3D Vision and Generation, Self-Driving Applied Intuition IncResearch Scientist - 3D Vision and Generation, Self-DrivingSunnyvale, CA$126,000–$423,000 / yearSupported by industry-leading tools and infra, researchers can access millions of miles of data from large fleets, and deploy methods they develop into various autonomous and robotic systems including self-driving cars/trucks, autonomous mining/construction machines, humanoid robots and dexterous hands. We're looking for someone who has: Strong research record in the fields of 3D vision, reconstruction and generation for autonomous systems and robotics, with publications in top-tier conferences or journals in the fields of computer vision, machine learning, and robotics.
Research Scientist - Reinforcement Learning, Robotics Applied Intuition IncResearch Scientist - Reinforcement Learning, RoboticsSunnyvale, CA$126,000–$423,000 / yearSupported by industry-leading tools and infra, researchers can access millions of miles of data from large fleets, and deploy methods they develop into various autonomous and robotic systems including self-driving cars/trucks, autonomous mining/construction machines, humanoid robots and dexterous hands. We're looking for someone who has: Strong research record in the fields of RL and VLA post-training for robotics and autonomous systems, with publications in top-tier conferences or journals in the fields of computer vision, machine learning, and robotics.