Research Engineer Robotics (Systems) Meta Platforms IncResearch Engineer Robotics (Systems)Redmond, WAInfluence roadmap and priorities through deep system understanding and proactive problem identification Collaborate & Mentor Cross-Functionally: Work with diverse research and engineering teams to refine modules, drive end-to-end system improvements, and elevate the technical capabilities of the broader teamBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Bachelor's degree in Computer Science, Computer Engineering, Robotics, or related technical field (or equivalent practical experience) 5+ years of experience in robotics engineering, including hands-on work with robotic platforms in industry or academic research settings Demonstrated experience with machine learning systems in a robotics context (e.g., learned control policies, perception models, or ML-driven planning) Full-stack systems engineering experience designing, building, and maintaining large-scale software-hardware systems Track record of driving complex, ambiguous technical projects from conception through delivery with minimal direction Experience communicating technical decisions and system designs to cross-functional stakeholders across research and engineering functions (e.g., design documents, technical reviews, project proposals) Experience building and operating systems that bridge research exploration and reliable deployment Background in computer vision, imitation learning, reinforcement learning, model-predictive control, or sim-to-real transfer Master's or Ph. D. in Robotics, Computer Science, Electrical Engineering, or related field Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience in dexterous manipulation, learned robotic policy deployment, or control theory applied to real hardware Experience designing data collection protocols and building high-quality ML datasets at scale History of mentoring engineers and influencing technical direction beyond your immediate team Deep familiarity with robotics frameworks (e.g., ROS/ROS2) and real-time robotic control systems Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Meta builds technologies that help people connect, find communities, and grow businesses.
Sr Mgr, Amazon Science Engineering, Academic Research Initiatives & Science Community Amazon.com IncSr Mgr, Amazon Science Engineering, Academic Research Initiatives & Science CommunitySeattle, WAThe team currently owns and operates the following production systems: Publications Approval Pipeline: End-to-end tooling for routing scientific papers and data sets through Amazon's internal review and approval workflow, ensuring compliance, quality, and publication readiness. Research Impact & Outcomes Tracking: Tools supporting the Amazon Research Initiative (ARI) team in tracing and evaluating the outcomes of Amazon-funded university research, connecting funded projects to publications, software artifacts, patents, and business impact.
Principal, BusDev, Academic Research Initiatives Amazon.com IncPrincipal, BusDev, Academic Research InitiativesSeattle, WAARI is an academic research investment management team that sources research proposals from top global universities, matches promising ideas with Amazon business funders, manages research portfolios, diffuses learnings across Amazon to maximize learning impact, and disrupts once salient technology trends emerge. Businesses that opt into the ARI model can expect an academic investment strategy that continuously aligns their long-term innovation needs with strategy execution, measurement, and iteration, and tie in to Amazon's broader technical community.
Sr Security Engineer, Perimeter Threat Research Team Amazon.com IncSr Security Engineer, Perimeter Threat Research TeamSeattle, WAThe AWS Perimeter Protection Threat Research Team produces actionable threat intelligence that drives AWS security and networking services, including AWS Shield, AWS WAF, AWS Firewall Manager, and Network Firewall. Our diverse team of security researchers and engineers operates advanced deception technology and threat intelligence systems to identify, track, and analyze bad actors as they continuously evolve their tactics, techniques, and procedures.
Senior Talent Intelligence & Market Research Specialist (Recruitment) AECOMSenior Talent Intelligence & Market Research Specialist (Recruitment)Seattle, WAOperating at the intersection of Talent Acquisition, workforce strategy, and AI-enabled research, this role partners directly with TA, Talent Management and business leadership across the enterprise to anticipate talent risks and opportunities, surface where the market is moving, and enable evidence-led decisions on capability, structure, and growth. This is a highly visible Individual Contributor role designed for a sophisticated researcher who blends deep investigative rigor with the executive presence to translate complex market data into actionable hiring strategies for one of the world's largest architecture, engineering, and construction firms.
ML Research Scientist Prime Team Partners IncML Research ScientistSeattle, WA$190,000–$230,000 / yearOur Seattle based client, a fast‑growing early‑stage team, is seeking a Machine Learning Research Scientist to drive high‑impact research at the core of a next‑generation AI inference platform. If you're passionate about advancing efficiency, generative models, and real‑world ML systems, this role offers rare depth and ownership.
Staff Research Scientist, AI Agents & LLMs SnowflakeStaff Research Scientist, AI Agents & LLMsBellevue, WashingtonAt the intersection of autonomous agents and large language models (LLMs) , you will build the models and systems that turn enterprise data into self-directed, decision-making agents —shifting from passive data access to autonomous execution. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results.
Staff Research Scientist, Exotic AI SnowflakeStaff Research Scientist, Exotic AIBellevue, WA$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 Engineer Graduate (Agentic Arch) - 2027 Start (PhD) TikTok IncResearch Engineer Graduate (Agentic Arch) - 2027 Start (PhD)Seattle, WAExperience building or deploying LLM agents, AI developer tools, or agent platforms in complex or large-scale environments.•Hands-on experience with model post-training, reinforcement learning, execution-feedback loops, tool-using agents, distributed agent runtimes, or scalable evaluation systems. We research and deploy reliable long-horizon agents that can reason over large codebases, interact with complex tools and environments, and complete consequential engineering work across distributed production systems.
Senior Agentic AI Research Scientist Axon Enterprise IncSenior Agentic AI Research ScientistSeattle, WA$159,750–$255,600 / yearExperience contributing to large-scale ML and multimodal RAG systems including embeddings, indexing and vector search at scale, distributed training or inference workflows, evaluation and ranking optimization, agentic tool use, and grounding LLMs with external knowledge. PhD and 3+ years of experience in Computer Science or a related field with a focus on multimodal machine learning, large language models, video understanding, information retrieval, agentic reasoning or related technical fields.
Research Scientist - TikTok E-Commerce Recommendation Foundation TikTok IncResearch Scientist - TikTok E-Commerce Recommendation FoundationSeattle, WAApply LLM technologies across retrieval, ranking, and re-ranking stages; participate in model training, inference optimization, and system co-design. Minimum Qualifications: MS/PhD in Computer Science, related technical field or equivalent industrial research experience.
NewStaff Research Scientist - Physical AI / Multimodality SnowflakeStaff Research Scientist - Physical AI / MultimodalityBellevue, WashingtonDesign 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). We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results.
Research Associate II Viral Tools Allen Institute for Brain ScienceResearch Associate II Viral ToolsSeattle, WA$66,500–$81,350 / yearThis role will primarily support brain tissue processing, histology, multiplexed fluorescence in situ hybridization (mFISH/RNAscope), immunohistochemistry, confocal fluorescence microscopy, imaging, and quantitative image analysis to characterize viral transduction patterns by identifying the cell types and neural circuits expressing viral reporters. The successful candidate will join the Brain Health team at the Allen Institute and contribute to studies evaluating AAV tropism, biodistribution and transgene expression across mouse, non-human primate, and human brain tissue, with a primary focus on non-human primate studies.
AI Research Scientist Allen Institute for Brain ScienceAI Research ScientistSeattle, 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 Associate I In Vivo Electrophysiology & Behavior Allen Institute for Brain ScienceResearch Associate I In Vivo Electrophysiology & BehaviorSeattle, WA$54,250–$66,450 / yearLaboratory environment - possible chemical, biological, or other hazardous substances exposure Possible exposure to BioSafety Level 2 organisms, such as recombinant viruses This may include wearing personnel protective equipment (PPE). All employees who work with live animals must complete an Occupational Health medical history form and/or consultation with an Occupational Health Provider and receive clearance to work with animals.
Member of Technical Staff — RL Research (Experienced) Nuance LabsMember of Technical Staff — RL Research (Experienced)Seattle, Washington$300,000–$500,000 / yearThat means turning rapidly evolving research ideas into reliable training systems: defining the abstractions, choosing or modifying frameworks, wiring together rollout workers and trainers, building reward/evaluation loops, debugging failure modes, and making the system fast enough for researchers to iterate. Proven experience building or operating RL/post-training pipelines at scale with frameworks such as verl, ms-swift, OpenRLHF, or equivalent internal systems, including integration with rollout serving systems such as vLLM.
Staff Research Scientist, AI Agents & Llms SnowflakeStaff Research Scientist, AI Agents & LlmsBellevue, WA$236,000–$339,200 / yearAt the intersection of autonomous agents and large language models (LLMs), you will build the models and systems that turn enterprise data into self-directed, decision-making agents-shifting from passive data access to autonomous execution. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results.
Research Scientist Intern- E-commerce Recommendation(LLM Applications) - Global Frontier Tech Recruitment Program - 2027 Start (PhD) TikTok IncResearch Scientist Intern- E-commerce Recommendation(LLM Applications) - Global Frontier Tech Recruitment Program - 2027 Start (PhD)Seattle, WAAcross multiple scenarios-including live-streaming e-commerce, video-based commerce, and marketplace (shelf-based) commerce-the team is committed to delivering a more personalized, proactive, and efficient shopping experience for users, while providing merchants with a stable and reliable platform. Multimodal Large Models for E-commerce: Build multilingual, multimodal models achieving SOTA performance and powering intelligent e-commerce agents.
Research Scientist - E-commerce Recommendation(LLM Applications) - Global Frontier Tech Recruitment Program - 2027 Start (PhD) TikTok IncResearch Scientist - E-commerce Recommendation(LLM Applications) - Global Frontier Tech Recruitment Program - 2027 Start (PhD)Seattle, WAAcross multiple scenarios-including live-streaming e-commerce, video-based commerce, and marketplace (shelf-based) commerce-the team is committed to delivering a more personalized, proactive, and efficient shopping experience for users, while providing merchants with a stable and reliable platform. Heterogeneous Data Fusion & Alignment: Unified modeling of user behavior sequences, product sales time-series signals, and multimodal product content, achieving deep semantic alignment across high-dimensional temporal and visual/textual representations.
Research Associate I Brain Proteome Organization Allen Institute for Brain ScienceResearch Associate I Brain Proteome OrganizationSeattle, WA$54,250–$66,450 / yearThe goal of the Brain Science accelerator is to produce three interlocking resources: cell type atlases that catalog every kind of brain cell across ages and species, connectomes that chart the brain's intricate wiring, and a knowledge platform that knits it all together with powerful analysis tools. Led by Marc van Oostrum, the team develops scalable synapse proteomics and systems-level analysis approaches to understand how the proteome and protein interactions determine synapse-type specific physiology and circuit connectivity.