NewPolymer Materials Scientist (Must have rubber or silicone experience) JobotPolymer Materials Scientist (Must have rubber or silicone experience)Riverside, CA$115,000–$135,000 / yearInformation collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. We offer a setting where your impact is visible, your ideas are heard, and your leadership helps guide long-term growth—making it an ideal place for those seeking both responsibility and meaningful influence in a stable, essential-services business.
Staff Research Scientist Visa Technology and Operations LLCStaff Research ScientistFoster City, CA$169,100–$270,800 / yearThe ideal candidate will focus on conducting advanced research in one or more subfields, for example, quantum error correction, quantum optimization, quantum simulation, quantum machine learning, distributed quantum computing and/or quantum security and privacy with the aim of applying their research outcomes to financial services and payments. We engage with the company's numerous technology and product teams, world-wide business partners, academics, and governments, to explore and develop technologies that will shape the future of the payments industry and impact the lives of billions of people.
Lead Research Scientist Visa Technology and Operations LLCLead Research ScientistFoster City, CA$215,300–$344,600 / yearWe engage with the company's numerous technology and product teams, world-wide business partners, academics, and governments, to explore and develop technologies that will shape the future of the payments industry and impact the lives of billions of people. . Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
NewSr. Applied Scientist, Prime Video - Personalization and Discovery Science Amazon.com Services LLCSr. Applied Scientist, Prime Video - Personalization and Discovery ScienceSunnyvale, CADevelop AI solutions for various Prime Video Search systems using Deep learning, GenAI, Reinforcement Learning, and optimization methods; - Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end; - Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses; - Effectively communicate technical and non-technical ideas with teammates and stakeholders; - Stay up-to-date with advancements and the latest modeling techniques in the field; - Publish your research findings in top conferences and journals. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+.
NewAI Engineering Lead JobotAI Engineering LeadIrvine, CA$150,000–$175,000 / yearInformation collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. We are the fastest growing Brand Integrity, Where-to-Buy and data services innovator, providing unmatched insights into online consumer purchasing behaviors around the globe.
NewPrincipal Applied Scientist, ML Codesign Amazon.com Services LLCPrincipal Applied Scientist, ML CodesignSunnyvale, CAFamiliarity with Application-Specific Integrated Circuit (ASIC) development flow, Register Transfer Level (RTL) review, or compiler intermediate representations including Multi-Level Intermediate Representation (MLIR) and OpenXLA. • Eight or more years of industry experience with a track record of first-author or senior-author publications at top-tier venues in machine learning systems, computer architecture, or efficient machine learning.
Chief Scientist, EO/IR Technologies LeidosChief Scientist, EO/IR TechnologiesSan Diego, CA$154,050–$278,475The ideal candidate is comfortable engaging in deeply technical discussions to develop new solutions, working with experts across multiple fields, and is motivated to lead research teams to demonstrate disruptive capabilities for space. Doctorate in Engineering, Physics, Optics, or a related field with 13+ years of prior relevant experience in leading research programs in advanced sensors or Masters with 15+ years of prior relevant experience.
NewCorporate Associate (Licensing) JobotCorporate Associate (Licensing)San Diego, CA$230,000–$350,000 / yearInformation collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. Our client, a highly regarded law firm with a nationally recognized Life Sciences and Technology Transactions practice, is seeking a Licensing Associate with at least 3 years of relevant experience to join its growing team.
NewLead AI Research Scientist, Recursive Self Improvement, AI Safety and Reinforcement Learning Advanced Micro Devices, IncLead AI Research Scientist, Recursive Self Improvement, AI Safety and Reinforcement LearningSanta Clara, CaliforniaWe are hiring an Lead 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.
NewLead 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).
AI Research Scientist, Applied AI, Google Cloud Google LLCAI Research Scientist, Applied AI, Google CloudSunnyvale, CAFrom creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. Take ownership of AI quality for production systems by defining technical metrics aligned with business goals, implementing evaluation frameworks, designing experiments, analyzing loss patterns, and driving improvements through system changes or training data enhancements.
Staff AI Research Scientist, Applied AI, Google Cloud Google LLCStaff AI Research Scientist, Applied AI, Google CloudSunnyvale, CAFrom creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. Take ownership of AI quality for production systems by defining technical metrics aligned with business goals, implementing evaluation frameworks, designing experiments, analyzing loss patterns, and driving improvements through system changes or training data enhancements.
AI Research Scientist - Machine Learning for Behavioral AI Meta Platforms IncAI Research Scientist - Machine Learning for Behavioral AIPasadena, CAWe identify key technology gaps requiring step-change innovation, build AI-driven autonomous discovery pipelines to compress development timelines, leverage external partners to accelerate research, and deliver high-quality technology solutions through cross-functional, high-performing teams. Working at the frontier of deep generative modeling, computational chemistry, and agentic AI, you will develop and deploy state-of-the-art models - including diffusion models, flow matching, and transformer-based architectures - that predict and generate stable crystal structures and molecular candidates with target properties.
AI Research Scientist - Agentic AI for Materials Discovery Meta Platforms IncAI Research Scientist - Agentic AI for Materials DiscoveryPasadena, CADesign, implement, and optimize LLM-orchestrated multi-agent systems for autonomous materials discovery pipelines Build specialized AI sub-agents that operate within a closed-loop discovery framework Integrate agentic AI workflows with computational chemistry tools (DFT, MD, Monte Carlo) and HPC infrastructure Develop and fine-tune retrieval-augmented generation (RAG) systems over scientific literature corpora for real-time knowledge synthesis Collaborate with materials scientists, computational chemists, and ML researchers to translate domain workflows into autonomous agent architectures Evaluate and benchmark agent performance on materials discovery tasks - measuring accuracy, throughput, and synthetic viability of generated candidates Contribute to open-source tooling and publish research at top-tier venues (NeurIPS, ICML, ICLR, or domain journals)Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience PhD in AI, Computer Science, Computational Chemistry, Materials Science, or related field 2+ years of experience with large language models, prompt engineering, or agentic AI frameworks (e.g., React, tool-use agents, multi-agent orchestration) Demonstrated programming skills in Python and experience with ML frameworks (PyTorch, JAX, or similar) Demonstrated experience in building end-to-end AI systems that integrate external tools and APIs Familiarity with at least one domain: computational chemistry, molecular simulation, or materials informatics Experience building multi-agent or LLM-orchestrated systems for scientific applications Familiarity with atomistic simulation tools (VASP, Gaussian, LAMMPS, ASE) or cheminformatics libraries Publications at peer-reviewed ML or domain conferences Experience with retrieval-augmented generation, knowledge graphs, or scientific literature mining Understanding of crystal structure prediction, molecular dynamics, or quantum chemistry workflows Experience with HPC job orchestrationMeta builds technologies that help people connect, find communities, and grow businesses. This role sits within Meta's Reality Labs Research, in the Material and Systems Innovation team, which develops advanced materials for two of Meta's most ambitious hardware frontiers: lightweight, all-day wearable AR glasses and next-generation sensing and actuating materials for robotics.
AI Research Scientist, Applied AI, Google Cloud GoogleAI Research Scientist, Applied AI, Google CloudSunnyvale, CAFull timeFrom creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. Take ownership of AI quality for production systems by defining technical metrics aligned with business goals, implementing evaluation frameworks, designing experiments, analyzing loss patterns, and driving improvements through system changes or training data enhancements.
Staff AI Research Scientist, Applied AI, Google Cloud GoogleStaff AI Research Scientist, Applied AI, Google CloudSunnyvale, CAFull timeFrom creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. Take ownership of AI quality for production systems by defining technical metrics aligned with business goals, implementing evaluation frameworks, designing experiments, analyzing loss patterns, and driving improvements through system changes or training data enhancements.
Staff AI research scientist Writer IncStaff AI research scientistSan Francisco, CAThe instincts and orientation that match WRITERs values: you Connect - you collaborate openly across research, engineering, and product and communicate complex ideas with clarity to both technical and non-technical audiences; you Challenge - you ask the hard questions, push back on conventional wisdom, and pursue the research directions others havent tried yet; you Own - you drive your projects end-to-end with urgency, take accountability for results, and care deeply about the impact your work has on real customers. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and were looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.
Lead AI Research Scientist Workato IncLead AI Research ScientistSan Francisco, CAIn this role, you will set and execute a 24-month research vision spanning deterministic planners, self-healing automations, retrieval-augmented workflow graphs, and agent evaluation frameworks, while ensuring these innovations translate into real-world impact. You will partner closely with Product and Engineering teams to productionize prototypes within six months of proof of concept and engage directly with lighthouse customers to validate ideas and convert insights into scalable reference architectures.
Principal AI Research Scientist Post-Training · Alignment · Reinforcement Learning Autodesk AI Lab: London · San Francisco · Toronto · Remote (US/CA/EU Autodesk IncPrincipal AI Research Scientist Post-Training · Alignment · Reinforcement Learning Autodesk AI Lab: London · San Francisco · Toronto · Remote (US/CA/EUCARemoteAutodesk's domains - architecture, engineering, construction, manufacturing, media & entertainment - provide a distinctive research environment: rich structured data, long-horizon reasoning tasks, and real-world evaluation grounded in professional workflows. Uniquely, decades of investment in physics simulation engines, CAD kernels, and computational design tools give us something most labs don't have: high-fidelity, domain-grounded verifiers that can serve as reward signals for post-training.
Frontier AI Research Scientist, DeepMind Google LLCFrontier AI Research Scientist, DeepMindMountain View, CAhomehomeHomeHomework_outlinework_outlineJobsJobsnoogler_hatnoogler_hatStudentsStudentsgooglegoogleHow we workHow we workhandymanhandymanHow we hireHow we hireperson_outlineperson_outlineYour careerYour careerhelp_outlineHelp linkfeedbackSend feedbackmore_vert HelpSend FeedbackSign inCareersCareershomeHomework_outlineJobsexpand_morenoogler_hatStudentsexpand_moregoogleHow we workexpand_morehandymanHow we hireexpand_moreperson_outlineYour careerexpand_more. At Google DeepMind we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users.
Senior AI Research Scientist Workato IncSenior AI Research ScientistSan Francisco, CAStrong publication record in top-tier ML venues (NeurIPS, ICML, ICLR) or demonstrable impactful experimental work; hands‑on experience with large‑scale model training, transformer architectures, reinforcement‑learning techniques, and CUDA. Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform.
NewLead AI Research Scientist, Reinforcement Learning (LLM) and Post-Training Advanced Micro Devices, IncLead AI Research Scientist, Reinforcement Learning (LLM) and Post-TrainingSanta Clara, CaliforniaWe are hiring a Lead 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, Quantum Error Correction, Quantum AI Google LLCResearch Scientist, Quantum Error Correction, Quantum AILos Angeles, CAYour role involves developing fault-tolerant circuits for logical gates while navigating hardware tradeoffs on connectivity and engineering higher accuracy decoding algorithms for high-connectivity codes, such as Low-Density Parity-Check (LDPC) codes. As a Quantum Research Scientist, you will develop quantum error correction (QEC) schemes for fault-tolerant quantum computing, specifically focusing on superconducting qubits and high-connectivity platforms.
AI Research Scientist CollateAI Research ScientistSan Francisco, CaliforniaThe base salary range for this role is $150,000–$350,000 USD annually, depending on experience and level (Tier 1, San Francisco)We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. You’ll explore new modeling approaches, design novel architectures, and prototype capabilities that don’t exist yet — always with an eye toward how they can be translated into safe, reliable, and impactful products.
AI Research Scientist, Evaluations - Meta Superintelligence Lab Meta Platforms IncAI Research Scientist, Evaluations - Meta Superintelligence LabMenlo Park, CACurate and integrate publicly available and internal benchmarks to direct the capabilities of frontier model development • Develop and implement evaluation environments, including environments for novel model capabilities and modalities • Collaborate with external data vendors to source and prepare high-quality evaluation datasets • Execute on the technical vision of research scientists designing new benchmarks and evaluations • Build robust, reusable evaluation pipelines that scale across multiple model lines and product areas • Contribute to evaluation tooling that measures the quality and reliability of evaluation suites. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Research Scientist - Salesforce AI Research SalesforceResearch Scientist - Salesforce AI ResearchPalo Alto, CaliforniaCandidates have a strong background in one or more of the following areas:Agentic AI and Reasoning: Large language model (LLM)-powered agents, reinforcement learning (RL), reasoning and planning, autonomous workflows, self-evolving agent systems, computer use agents, deep research agents, and coding agents. Core Modeling and Post-Training: Machine learning methodology, pre-training and post-training techniques including reinforcement learning from human feedback (RLHF) and direct preference optimization (DPO), model distillation, evaluation, causal inference, and time series modeling.
Senior / Staff AI Research Scientist, Foundation Models RoboForceSenior / Staff AI Research Scientist, Foundation ModelsMilpitas, CaliforniaIn this role, you will develop algorithms that enable robots to understand their environment, interpret and execute tasks, and communicate seamlessly with humans — with a particular focus on building and training world models that allow robots to predict, plan, and generalize across complex physical tasks. Bonus QualificationsExperience with video generation or prediction models (e.g., diffusion-based video models, autoregressive video transformers) and their application to world modeling or synthetic data generation for robot learning.
AI Research Scientist, Audio-Visual Understanding, FAIR Meta Platforms IncAI Research Scientist, Audio-Visual Understanding, FAIRCABachelors degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience A PhD in AI, computer science, data science, or related technical fields Experience holding an industry, postdoctoral, faculty, or government researcher position Research background in machine learning, artificial intelligence, computational statistics, or applied mathematics, or related areas Research publications reflecting experience in theoretical or empirical research Experience in developing and debugging in Python or similar programming languages Experience in analyzing and collecting data from various sources Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Develop joint audio-visual understanding systems that integrate visual and auditory signals for advanced perception Build and evaluate audiovisual language models for social interactions and understanding, including predicting social intent, semantic function, and reasoning from human-centric inputs Contribute to benchmarks and evaluation frameworks for visual social understanding and interactions Train and optimize state-of-the-art machine learning and neural network methodologies Conduct and collaborate on research projects within a globally-based team.
AI Research Scientist - Meta Superintelligence Labs (PhD) Meta Platforms IncAI Research Scientist - Meta Superintelligence Labs (PhD)Menlo Park, CADegree must be completed prior to joining Meta Relevant candidates will have a track record on developing speech and audio large language models and experience with posttraining and evaluation of LLMs Direct experience in generative AI, and LLM research Hands-on experience on speech processing (ASR, TTS, S2S, etc.) Hands-on experience applying RL techniques to fine-tune large language modelsMeta builds technologies that help people connect, find communities, and grow businesses. Perform research to advance the state of the art in speech and audio LLMs Work with researchers and engineers in a highly collaborative environment to achieve goals and milestones Influence the future of research in frontier modeling with detailed technical reportsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Ph.
Staff AI research scientist WriterStaff AI research scientistSan Francisco, CaliforniaThe instincts and orientation that match WRITER's values: you Connect — you collaborate openly across research, engineering, and product and communicate complex ideas with clarity to both technical and non-technical audiences; you Challenge — you ask the hard questions, push back on conventional wisdom, and pursue the research directions others haven't tried yet; you Own — you drive your projects end-to-end with urgency, take accountability for results, and care deeply about the impact your work has on real customers. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.
NewAI Research Scientist- World Model Bosch Group IncAI Research Scientist- World ModelSunnyvale, CAThe Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, TVCG, SIGGRAPH.
Senior Research Scientist, Google Cloud AI Research Google LLCSenior Research Scientist, Google Cloud AI ResearchSunnyvale, CAhomehomeHomeHomework_outlinework_outlineJobsJobsnoogler_hatnoogler_hatStudentsStudentsgooglegoogleHow we workHow we workhandymanhandymanHow we hireHow we hireperson_outlineperson_outlineYour careerYour careerhelp_outlineHelp linkfeedbackSend feedbackmore_vert HelpSend FeedbackSign inCareersCareershomeHomework_outlineJobsexpand_morenoogler_hatStudentsexpand_moregoogleHow we workexpand_morehandymanHow we hireexpand_moreperson_outlineYour careerexpand_morejob detailsarrow_backBack to jobs searchJobs search results4156 jobs matched. From creating experiments and prototyping implementations to designing new architectures our research scientists work on real-world problems that span the breadth of computer science such as machine and deep learning data mining natural language processing hardware and software performance analysis improving compilers for mobile platforms as well as core search and much more.
AI Research Scientist, Robotics Meta Platforms IncAI Research Scientist, RoboticsBurlingame, CAPeople who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
AI Research Scientist (Robot Learning) mimic robotics AGAI Research Scientist (Robot Learning)San Francisco, CAIn flat hierarchies you will work directly with the founders and some of the best talents in the robotics space from the likes of Google DeepMind, Tesla Optimus, Stanford, ETH, ABB, etc. You will shape all aspects of the development of end-to-end AI models for robotics, from large scale multi-task pre-training to specialized fine-tuning and post-training.
AI Research Scientist (Robot Learning) Mimic RoboticsAI Research Scientist (Robot Learning)San Francisco, CaliforniaIn flat hierarchies you will work directly with the founders and some of the best talents in the robotics space from the likes of Google DeepMind, Tesla Optimus, Stanford, ETH, ABB, etc. You will shape all aspects of the development of end-to-end AI models for robotics, from large scale multi-task pre-training to specialized fine-tuning and post-training.
Research Scientist - Embodied AI Siemens AGResearch Scientist - Embodied AIBerkeley, CA$104,887–$179,806 / yearFrom more resource efficient factories resilient supply chains and smarter buildings and grids to sustainable transportation as well as advanced healthcare we create technology with purpose adding real value for customers. Deep technical knowledge of modern model architectures specifically Transformers VLAs VLMs and Diffusion Models with experience in large-scale training.
AI Research Scientist - United States Flexion RoboticsAI Research Scientist - United StatesSan Francisco, CAIf you are among the most capable, and ambitious robotics researchers in the country, someone who has stared at the limits of what robots can do today and decided that simply wasn't good enough, we want to hear from you. Among them are Nikita Rudin, David Hoeller, Julian Nubert, and Korrawe Karunratanakul - scientists who have redefined what humanoid robots can do.
Senior Staff AI Research Scientist Intuit IncSenior Staff AI Research ScientistMountain View, CAConduct original research in decision-focused AI, probabilistic modeling, causal inference, simulation-based planning, agentic and multi-agent systems, neuro-symbolic AI, deep learning, and/or LLM-based reasoning for business decision workflows. Deep expertise in one or more of the following: decision-focused AI, probabilistic modeling, causal inference, simulation-based planning, agentic and multi-agent systems, neuro-symbolic AI, LLM-based reasoning.
AI Research Scientist (Technical Leadership), Multimodal - Monetization GenAI Meta Platforms IncAI Research Scientist (Technical Leadership), Multimodal - Monetization GenAICAThe Monetization GenAI Video Gen & Visual Search group, part of the Ads pillar, is building the next generation of generative AI for video - from creation to understanding to transformation - at a scale that reaches billions of users. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Senior Applied Scientist, Amazon AWS Agentic AI, AWS AI Fundamental Research Amazon.com IncSenior Applied Scientist, Amazon AWS Agentic AI, AWS AI Fundamental ResearchSanta Clara, CAWe pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. They will own the end-to-end lifecycle from research and data curation through model training to production deployment, working closely with engineering to deliver evaluation capabilities as managed AWS services.
Applied AI Research Scientist (Multiple Opportunities) S32Applied AI Research Scientist (Multiple Opportunities)Palo Alto, CaliforniaTo further our commitment to driving the growth of S32's portfolio companies, we are looking for Applied Research Scientists who are passionate about exploring new approaches, algorithms, and methodologies drive AI systems. This includes artificial intelligence, enterprise software, cybersecurity, fintech, quantum computing, computational biology, and biotechnology.
Senior Staff Research Scientist, Quantum Error Correction, Quantum AI Google LLCSenior Staff Research Scientist, Quantum Error Correction, Quantum AIGoleta, CAAs a Research Scientist, you will actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
Research Scientist, AI Substrate IncResearch Scientist, AISan Francisco, CA$150,000–$275,000 / yearThis role sits at the intersection of cutting-edge physics and artificial intelligence, and youll 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.
Principal Research Scientist, Gameplay AI - Tech Research Riot Games IncPrincipal Research Scientist, Gameplay AI - Tech ResearchRedwood City, CAResearch Scientists at Riot combine deep technical expertise across machine learning, artificial intelligence (AI), experimental design, and systems engineering to invent new ways players experience games. Your team will identify emerging research with the potential to meaningfully change gameplay, turn it into concrete gameplay experiments, and work with game teams to transform validated breakthroughs into options Riot can confidently commit to.
Research Scientist - Technologies of Data Management, LLM and AI Agents - Global Tech Research Program - 2027 Start (PhD) Beijing ByteDance Technology Co LtdResearch Scientist - Technologies of Data Management, LLM and AI Agents - Global Tech Research Program - 2027 Start (PhD)San Jose, CAThis topic conducts systematic research across the entire AI infrastructure stack: Network and Observability: Research intelligent fault localization and root cause analysis for large-scale AI clusters, combined with intelligent tuning of time-series databases to improve cluster stability. Data Center Power Scheduling: Research GPU/CPU/MEM heterogeneous collaborative scheduling technologies, build a heterogeneous power orchestration system for AI agents, and address scheduling challenges including heterogenous workloads and state dependencies.
Elite Research Scientist - Frontier AI Evaluation Perle IncElite Research Scientist - Frontier AI EvaluationSan Francisco, CAThe WorkSelected researchers willEvaluate advanced scientific reasoning produced by state-of-the-art AI systemsAssess multi-step derivations proofs theoretical arguments and domain-specific outputsIdentify subtle conceptual flaws or logical inconsistenciesProvide research-grade corrective feedbackThis requires deep subject mastery. Minimum ThresholdCandidates must demonstrate the followingPhD or near completion in Mathematics Physics Neuroscience or ChemistryPeer-reviewed publications in respected journalsMeaningful citation record indicating research impactInternational academic distinction such as Olympiad medalistFaculty position at a leading universityAll credentials will be verified.
Research Scientist, AI SubstrateResearch Scientist, AISan Francisco, CaliforniaThis 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.
AI Research Scientist Intern GenMDAI Research Scientist InternPalo Alto, CaliforniaGenMD is just coming out of stealth, already revenue-generating, well-funded, and backed by premier investors with years of runway. The company was built out of years inside Stanford Medicine, working closely with world-class researchers and clinicians.
Research Scientist, AI BiohubResearch Scientist, AIRedwood City, CaliforniaBuild 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.
AI Vision Research Scientist Intern - Global Tech Research Program - 2027 Start (PhD) Beijing ByteDance Technology Co LtdAI Vision Research Scientist Intern - Global Tech Research Program - 2027 Start (PhD)San Jose, CAKey efforts include developing next‑generation sensors with real‑time understanding capabilities, investigating non‑traditional visual capture and compression techniques, and designing novel hardware architectures to run advanced algorithms-enabling highly efficient coordination across sensing, processing, and communication. Topic Challenge: Break free from the framework of conventional sensing systems, explore novel sensors, signal processing and compression schemes to achieve highly energy-efficient sensing tasks, while enabling seamless integration with large models.