NewPrincipal Applied Scientist MicrosoftPrincipal Applied ScientistRedmond, WA$142,800–$274,800 / yearPublications at top conferences like ACL (Association for Computational Linguistics), EMNLP (Empirical Methods in Natural Language Processing), SIGKDD (Special Interest Group on Knowledge Discovery and Data Mining), AAAI (Association for the Advancement of Artificial Intelligence), WSDM (Web Search and Data Mining), COLING (International Conference on Computational Linguistics), WWW (World Wide Web Conference), NIPS (Neural Information Processing Systems), ICASSP (International Conference on Acoustics, Speech, and Signal Processing), etc. Bachelors Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Masters Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research).
NewAudio UX Researcher III - Onsite Genesis10Audio UX Researcher III - OnsiteRedmond, WA$80–$82 / hourTemporaryContractorFull timeMA/MS in Speech and Hearing Sciences, Psychoacoustics, Audiology, Cognitive Psychology, Linguistics, Human Computer Interaction, Human Factors, Neuroscience, or a related UX field, with preference for candidates whose training or research focused on auditory perception, speech intelligibility or spatial hearing. PhD in Cognitive Psychology, Linguistics, Human Computer Interaction, Human Factors, Speech and Hearing Sciences, Communication Ecology, Experimental Psychology, Neuroscience, or a related UX field.
Senior Quantum AI Research Scientist, Applied Research NVIDIASenior Quantum AI Research Scientist, Applied ResearchRedmond, WashingtonYour research will help translate cutting-edge theory into practice by fine-tuning models for specific quantum error-correcting codes and hardware platforms, while collaborating with multi-functional teams across Product, Engineering, and Applied Research to integrate AI into next-generation Accelerated Quantum Supercomputers! Design and architect AI/ML models—including deep neural networks, graph neural networks, transformers, and reinforcement-learning agents—for quantum error correction, syndrome decoding, logical operation synthesis, and real-time calibration in fault-tolerant quantum systems.
Senior Research Scientist, Generative Media, Apparel ML Google LLCSenior Research Scientist, Generative Media, Apparel MLSeattle, WAFrom 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. Advertisers worldwide use Google Ads to promote their products; publishers use AdSense to serve relevant ads on their website; and business around the world use our products (like Google Shopping, and Google Wallet) to support their online businesses and bring users into their offline stores.
Research Scientist, Robotics Research - PhD New College Grad 2026 NVIDIAResearch Scientist, Robotics Research - PhD New College Grad 2026Seattle, WashingtonDeveloping algorithms, models, and methods for robotic manipulation and loco-manipulation, for both industrial and household applications; Integrating these methods into real-world robotic manipulation systems, including those consisting of collaborative robot arms, industrial robot arms, mobile manipulators, humanoids, and dexterous hands; Contributing to multi-person research projects that require a diverse set of skills across the robotics and machine learning stack; Engaging with the academic community through high-impact publications, conferences, workshops, and code releases; Collaborating with product managers and engineering teams to transfer your research into NVIDIA products that will have real-world impact; Mentoring interns joining NVIDIA during their PhD programs. Comfort in working through the complexities of simulation and real-world robotics, including debugging physics simulators and renderers under rapid development; selecting, setting up, maintaining, and enhancing complex robotics hardware; debugging real-world communication systems; and designing robust workflows for model training and evaluation.
Senior Quantum Error Correction Research Scientist, Applied Research NvidiaSenior Quantum Error Correction Research Scientist, Applied ResearchRedmond, WAAs 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, Robotics Research - Phd New College Grad 2026 NvidiaResearch Scientist, Robotics Research - Phd New College Grad 2026Seattle, WAWhat you will be doing: Developing algorithms, models, and methods for robotic manipulation and loco-manipulation, for both industrial and household applications; Integrating these methods into real-world robotic manipulation systems, including those consisting of collaborative robot arms, industrial robot arms, mobile manipulators, humanoids, and dexterous hands; Contributing to multi-person research projects that require a diverse set of skills across the robotics and machine learning stack; Engaging with the academic community through high-impact publications, conferences, workshops, and code releases; Collaborating with product managers and engineering teams to transfer your research into NVIDIA products that will have real-world impact; Mentoring interns joining NVIDIA during their PhD programs. Comfort in working through the complexities of simulation and real-world robotics, including debugging physics simulators and renderers under rapid development; selecting, setting up, maintaining, and enhancing complex robotics hardware; debugging real-world communication systems; and designing robust workflows for model training and evaluation.
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)Seattle, WAThis 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.
Research Scientist, Operations Research (Infrastructure Lab) Beijing ByteDance Technology Co LtdResearch Scientist, Operations Research (Infrastructure Lab)Seattle, WAYou will have the opportunity to solve some of the most challenging optimization problems behind large-scale AI datacenters while pioneering the next generation of AI-powered decision-making systems, where LLMs, and optimization algorithms work together to improve efficiency, resource utilization, and operational intelligence across ByteDance's global infrastructure. ByteBrain supports a wide range of infrastructure domains, including AI data center supply chains, databases, storage systems, networking, containers and virtualization, and big data platforms, powering infrastructure optimization at massive scale.
Senior Research Scientist, Operations Research (Infrastructure Lab) Beijing ByteDance Technology Co LtdSenior Research Scientist, Operations Research (Infrastructure Lab)Seattle, WAYou will have the opportunity to solve some of the most challenging optimization problems behind large-scale AI datacenters while pioneering the next generation of AI-powered decision-making systems, where LLMs, and optimization algorithms work together to improve efficiency, resource utilization, and operational intelligence across ByteDance's global infrastructure. ByteBrain supports a wide range of infrastructure domains, including AI data center supply chains, databases, storage systems, networking, containers and virtualization, and big data platforms, powering infrastructure optimization at massive scale.
Research Scientist - Compute AI Infra Global Tech Research Program - 2027 Start (PhD) Beijing ByteDance Technology Co LtdResearch Scientist - Compute AI Infra Global Tech Research Program - 2027 Start (PhD)Seattle, WAThis 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. Vector Retrieval: Optimize core vector retrieval technologies for LLM-powered applications, building a cloud-native distributed vector index engine to meet ultra-large-scale vector retrieval demands with low latency and low cost.
Research Scientist - AI Compute & DPU - Global Tech Research Program - 2027 Start (PhD) Beijing ByteDance Technology Co LtdResearch Scientist - AI Compute & DPU - Global Tech Research Program - 2027 Start (PhD)Seattle, WADeep expertise in frontier areas such as large-scale model training and inference, heterogeneous computing optimization across GPUs/DPUs/accelerators, software-hardware co-design (e.g., FPGA/ASIC) across networking/storage/distributed compute, or high-performance networking (e.g., RDMA, NCCL, DPDK/SPDK) with hands-on experience in network virtualization (OVS, SR-IOV, eBPF). This 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.
Research Scientist/Engineer 2, BRaIN Research Laboratory University of WashingtonResearch Scientist/Engineer 2, BRaIN Research LaboratorySeattle, WAA regional resource for clinical laboratory services required for innovative patient care, research and educational programs, the Department of Laboratory Medicine & Pathology at UW Medicine combines the sophisticated testing and informatics capabilities of fully accredited laboratories with the resources of an academic institution in its delivery of clinical and anatomic pathology services. The UW BioRepository and Integrated Neuropathology (BRaIN) Research Laboratory has an outstanding position for a Research Scientist/Engineer 2. This is an excellent opportunity for the scientist to participate in a team whose goal is to support human brain research from initial donation to state-of-the-art cell and molecular tissue research.
AI Research Scientist - AI BioDesign Allen InstituteAI Research Scientist - AI BioDesignSeattle, WA$146,600–$183,250 / yearRather than primarily applying established techniques, this role focuses on methodological innovation – designing, testing, and refining new AI/ML models that operate across diverse and large-scale biological data, and translating complex scientific questions into computational frameworks. Working closely with scientists and engineers, the AI Research Scientist evaluates model performance, limitations, and scientific relevance, and contributes to the broader scientific community through publications, benchmarks, and reusable methods.
Research Scientist 3, Genomics - Department of Genome Sciences University of WashingtonResearch Scientist 3, Genomics - Department of Genome SciencesSeattle, WashingtonThe Department of Genome Sciences (GS) is part of the University of Washington School of Medicine (UW SoM) and is comprised of 34 labs addressing leading edge questions in biology and medicine by developing and applying genetic, genomic, and computational approaches taking advantage of genomic information now available for a host of species. Reporting to the NWGC Director of Operations, the Research Scientist 3 will conduct laboratory research focusing on the identification of DNA variation in human populations in a high-throughput genomics laboratory in the Department of Genome Sciences.
NewSenior Research Scientist, Open Ecosystem The Allen Institute for Artificial IntelligenceSenior Research Scientist, Open EcosystemSeattle, WAThis employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. The Open Ecosystem team, responsible for the Olmo and Molmo model series, develops and releases truly open AI research and best-in-class artifacts that transform the way researchers, scientists, and practitioners think about and participate in AI research, development, and societal impact.
NewSenior Research Scientist, Open Ecosystem The Allen Institute for AISenior Research Scientist, Open EcosystemSeattle, WAThis employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. The Open Ecosystem team, responsible for the Olmo and Molmo model series, develops and releases truly open AI research and best-in-class artifacts that transform the way researchers, scientists, and practitioners think about and participate in AI research, development, and societal impact.
NewResearch Scientist/Engineer 3 University of WashingtonResearch Scientist/Engineer 3Seattle, WashingtonAs a center of excellence that collaborates with many departments and schools in the University (Division of Psychiatry and Behavior Sciences in the Department of Medicine; School of Pharmacology; Neurobiology and others), the NAPE lab is associated with the Department of Anesthesiology and Pain Medicine, located at the University of Washington’s Health Science Building. The purpose of the center is to provide shared resources that will enhance efficiency and facilitate collaborative research for the study of how endogenous and exogenous opioid signaling impacts brain circuit function with the goal of understanding opioid addiction mechanisms and developing novel treatments for drug addiction.
Research Scientist, Alexa Devices & Marketing Amazon.com IncResearch Scientist, Alexa Devices & MarketingSeattle, WAAbout the team The Alexa Customer Science (ACS) team is a team of Research Scientists, UX Researchers, and Market Researchers that surfaces timely, scientifically-grounded insights about customers to guide marketing and product leaders. As a Research Scientist with ACS, you will be responsible for designing, conducting, and analyzing research that helps product and marketing teams in Alexa Devices better understand our customers" preferences, experiences, and behaviors.
Research Scientist II ChewyResearch Scientist IIBellevue, WashingtonAs a Research Scientist on the Outbound Science & Technology team, you will design, develop, and deploy advanced optimization, simulation, and machine learning models that power Chewy’s outbound network. You will translate ambiguous business problems into structured mathematical models and scalable solutions that improve speed, cost efficiency, and service levels across our outbound operations.