Top Research Jobs in Seattle, WA

Lead research on agentic AI, developing self-improving, multi-agent systems and continual learning methods. Design evaluation frameworks, synthetic data pipelines, and scalable architectures to move research into deployed products while collaborating with engineers and product teams.

Lead research and development of algorithms and systems for robotic manipulation and loco-manipulation; integrate methods into real robot systems; co-lead multi-person projects; publish and engage with the academic community; transfer research into NVIDIA products; and mentor interns and junior researchers/engineers.

Lead Seattle laboratory technology operations and act as the accountable Research Site Partner. Manage site operating budget, vendor ecosystems, programs, and cross-site prioritization. Serve as product owner for site requirements, drive technology adoption and change management, ensure GxP/SOX-compliant IT/OT operations, and lead a local team with full people-management responsibility.

Lead development of fault-tolerant quantum algorithms, create IP and resource models, build implementation libraries and evaluation tools, compare FTQC/NISQ/classical approaches, collaborate with customers and partners, publish results, and represent IonQ at conferences.

Lead and define the research vision for Emergency Care, manage a team of scientists/engineers, drive long-term R&D strategy, budget and talent development, collaborate with KOLs, guide cross-functional scientific objectives, and produce IP and publications.

Lead and define research vision for Emergency Care, manage a team of scientists/engineers, oversee strategic planning, budgeting, talent development, cross‑functional collaboration, external KOL engagement, IP creation, and scientific publications to advance long-term product and business objectives.

Lead research on AI methods for life sciences: design, implement, and evaluate novel ML techniques (post-training, inference-time optimization, interpretability, experimental design); benchmark and interpret model capabilities on biological data; optimize inference interactions; and contribute to team-based reproducible research and communication.

Hands-on lab role to engineer stable mammalian cell lines (lentiviral transduction, CRISPR knock-ins/outs), run and optimize cell-based immunoassays (flow cytometry, ELISA, Incucyte), perform reagent and cell line qualification, analyze datasets, and present technical reports to support immuno-oncology drug discovery and development.

Design, build, and productionize AI-native software and agentic tooling across the SDLC. Lead architecture and engineering excellence, collaborate with researchers and product teams, and deliver scalable, secure, well-tested AI products and prototypes-to-production solutions.

Conduct and lead research on agentic AI, developing training methodologies, datasets, and evaluation frameworks for large language and multimodal models. Prototype agentic capabilities (action models, memory, multi-agent orchestration), collaborate with engineering and product teams, and drive research to publication and real-world deployment.

Conduct and lead applied ML research to develop efficient generative models and AI inference techniques. Prototype and implement novel methods, run experiments, write production-quality code, analyze results, and collaborate with engineering teams to transition research into scalable production systems.

The Product Research Analyst will lead product development for TikTok Search Ads, analyze market needs, collaborate with cross-functional teams, and improve ad auction efficiency.

Perform guided composite materials R&D tasks including sample preparation, testing, data collection and analysis, equipment maintenance, documentation, and supporting technology transfer and patent preparation. Maintain lab safety, coordinate purchases and reports, and support senior scientists in project and capital investment activities.

The Research Scientist will develop core research problems in robotics, engage in simulations, lead projects, mentor interns, and collaborate widely.

Own end-to-end data and RL environment strategy for domain-specific knowledge work. Source and evaluate tasks and vendors, design rewards and QA to prevent reward hacking, run generalization experiments, and partner with RL research and product teams to improve model capabilities.

As an ML Scientist, you'll develop and improve ML models, work on the ML stack, and innovate new approaches in NLP, Speech, and Computer Vision.

Lead and oversee clinical research and patient care activities for the TBI Center of Excellence. Manage staff, develop and execute research studies, ensure regulatory compliance, collaborate with clinicians and researchers, present and publish findings, and liaise with DVBIC, command, and community partners to optimize TBI care.

As a Lead Data Scientist, you'll apply advanced analytics and machine learning to enhance advertising technology, drive innovations, and develop data-driven insights while mentoring team members.

Develop and optimize generative AI applications and traditional ML models for advertising. Lead innovations, mentor engineers, and ensure system robustness.

Conduct international market and audience research for Office Global Services & Automation. Provide actionable insights on customer satisfaction, usage, languages, and lifecycle stages. Pull and analyze data, create visualizations (Power BI, Excel), and present findings to stakeholders to inform international product and strategy decisions.

The ML Engineer will design, build, and automate evaluation pipelines, curate datasets, train and deploy voice models, monitor performance, and manage production code across various stages of the machine learning lifecycle. They will also collaborate closely with research and infrastructure teams to enhance user-facing systems.

Collaborate with research scientists to productionize generative AI and agentic systems: build tools, pipelines, APIs, UIs, and scalable cloud services; deploy and debug full-stack systems; ensure security and production readiness.

Lead and execute research on large language models and agentic systems, running large-scale post-training experiments (SFT, RLHF, RLAIF, DPO, GRPO), building evaluation benchmarks and data synthesis pipelines, translating research into model improvements and production deployments, publishing at top venues, and mentoring researchers and engineers.

Design and research agentic AI and reinforcement learning systems: build auto-research and coding agents, develop recursive self-improvement and multi-agent frameworks, run RL experiments (RLHF, DPO, PPO), curate training data pipelines, and publish results at top ML venues.

The Staff Research Scientist will define research directions in AI and LLMs, develop models and systems for autonomous decision-making, and lead efforts to translate research into impactful solutions while mentoring team members.