Top Research Jobs in Seattle, WA

Lead applied research and technical direction for agent memory in production AI: define roadmap, design and build memory and retrieval architectures, run large-scale experiments, develop evaluation frameworks, and partner cross-functionally to ship reliable, personalized long-running agent capabilities.

Provide specialized tax advice on R&D tax credits, accounting methods, and fixed-assets; analyze complex tax regulations; collaborate with clients on compliance and planning; mentor junior staff; produce technical tax documentation; build client relationships and align tax strategies with business objectives while upholding PwC technical standards.

Lead applied research to advance continuous learning for agents: design and evaluate LLM post‑training and RL methods, implement and deploy experiments at scale, validate research on customer tasks, optimize GPU/distributed training, and mentor engineers while driving cross‑functional technical direction.

Drive applied research to enable continuous learning for agents: design and evaluate LLM post-training methods (fine-tuning, RL, distillation), run large-scale GPU experiments, validate approaches on customer tasks, and help deploy and scale models and infrastructure across the stack.

The Senior Manager will lead large-scale projects, provide specialized tax advice, enhance operational efficiencies, and mentor team members in tax services, particularly in research and development taxation.

Lead research in user modeling and personalization, focusing on generative and language models, recommendation and retrieval systems. Build scalable prototypes, partner with engineering to deploy solutions, mentor junior researchers and interns, and publish work at top conferences.

The Senior Product Manager will lead the strategy and roadmap for CrowdStrike's threat detection technologies, collaborating with various teams to enhance cybersecurity products.

Lead and grow a product research team focused on defensive cybersecurity research. Own technical and managerial leadership, collaborate with Product, SOC, and Engineering, scale automated threat-detection workflows using AI, and mentor researchers to deliver prioritized platform capabilities.

The role involves researching and developing large language models (LLMs) with a focus on transformer architecture, data curation, distributed training, and optimization. Responsibilities include conducting experiments, collaborating with teams, and staying updated on deep learning advancements.

This role involves building and optimizing ML systems and frameworks, collaborating with teams to enhance research and development in ML models.

The Director, Research - Power Markets is responsible for leading the QA/QC process for long-term forecasting, advising leadership, and ensuring market insights are effectively integrated into forecasts.

Embed in Research to drive end-to-end delivery of STT/TTS model versions and features. Map dependencies and risks, run cross-functional programs, establish lightweight processes, and communicate status across Research, Product, DataOps, and Engineering to ensure timely launches.

Provide legal counsel to research and product teams on model development and deployment. Draft and review consumer-facing terms, privacy policies, and disclosures. Build privacy program and AI governance frameworks, translate international AI regulatory developments into actionable policies, and scale AI-native legal workflows across the company.

As a Data Scientist at Deepgram, you'll tackle complex audio data challenges, develop scalable data pipelines, and collaborate with teams to advance voice AI technologies.

Research and interpret tax code and form changes, translate findings into software requirements, guide programmers, design and execute test cases, validate tax calculations, produce documentation and release notes, serve as subject-matter expert for assigned tax topics/states, support product users, and lead team projects as needed.

Lead and scale Headway's clinical research: define research roadmap, design and run studies, perform causal inference and experimentation, analyze large real-world datasets, publish peer-reviewed manuscripts, manage budget and resources, and collaborate cross-functionally to inform strategy and demonstrate impact on patient and provider outcomes.

Lead customer success and research efforts: train and advise customers on Dscout, design and run qualitative research projects, drive adoption and expansion, manage 1–3 Research Advisors, and surface customer feedback to Product.

Develop and validate electromagnetic analysis, measurement, and digital engineering processes for aerospace systems. Apply EM theory, computational electromagnetic and multi-physics tools, and antenna/RF knowledge to analyze coupling, interference, and material performance. Interface with materials and multidisciplinary teams to set EM requirements and integrate components into higher-level platforms.

This role involves developing AI applications, focusing on LLMs and agent frameworks, and requires research skills in ML with experience in data strategy.

Lead the design of commerce experiences and tools for Linktree, focusing on user engagement and management of commerce activities. Collaborate across teams to create intuitive product designs that support marketplace operations.

The Research Engineer will collaborate with scientists to develop and validate machine learning models for speech technologies, manage scalable training systems, and design tools for accessibility to non-technical users.

Perform tax form and regulation research, interpret tax code updates, guide programmers on calculation changes, design and execute tests, document calculations, contribute release notes and customer guidance, and support tax software products remotely.

Coordinate and participate in clinical research studies, collect and compile clinical data from charts, records, interviews and tests, implement data collection procedures, assist in defining study guidelines, and ensure protocol and subject protection training compliance.

Lead the development of scalable onboarding, training, and adoption programs for customers using EHR and real-world data. Provide consultative research support, build dashboards and usage reporting, advise on study design and cohort definition, and partner cross-functionally to improve customer experience and operational efficiency.

The Partner Research & Success Manager will enhance client relationships, support onboarding and education, manage projects, and drive operational efficiency to deliver maximum value to customers.