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.

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

Design, develop, and deploy optimization and machine learning models for outbound supply chain replenishment. Analyze large supply-chain datasets, collaborate with cross-functional partners to translate business needs into technical solutions, implement process improvements, and communicate results to non-technical stakeholders.

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.

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.

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.

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.

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.

The VP of Product will lead CoreWeave's Research Training Stack, focusing on enhancing AI infrastructure, ensuring quality for pre-trained models, and connecting researchers with advanced cloud capabilities.

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.

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.

As a Technical Marketing Manager, you will handle marketing for AppSec, AI/ML Security, and Research, creating content, managing social media, and running demand generation campaigns with a focus on community engagement and analytics.

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.

Lead and hands-on develop the full post-training stack for security-domain AI, including SFT, RLHF/RLAIF, reward modeling, and agent-RL harnesses. Build training environments and agent scaffolds, define evaluation and benchmarks, drive research direction, publish findings, and recruit and grow a high-density research and engineering team while actively contributing to experiments and architecture.

The Security Engineer will design, build, and enhance security tools and frameworks, analyze security challenges, and contribute to AI/ML security research. Responsibilities include software development, security code review, and technical communication.

Coordinate and manage clinical research activities for one or more heart studies, handling study administration, budgeting/billing, investigator communication, regulatory compliance, and backup coverage for other coordinators.

Prepare and maintain budgets for sponsored clinical trials, translate protocols into itemized budget milestones, set up payment milestones in CTMS, provide patient cost language for ICF/IRB, update budgets per amendments, audit study billing, and coordinate with contracts, regulatory, program managers, finance, and investigators to manage high-volume research workflows.

Lead and independently coordinate neuroscience research studies, manage operations, budgets, billing, and quality. Train and support other coordinators, assist investigators, prepare scientific materials, provide occasional after-hours/on-call coverage and periodic overnight travel, and help oversee departmental financial and quality initiatives.

Design, prototype, and evaluate machine learning and AI solutions by translating research into working prototypes. Build, fine-tune, benchmark, and deploy models and data pipelines; create evaluation frameworks and experiments; collaborate with research, engineering, product, and design teams to validate and operationalize AI-driven features and systems.

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.

The role involves leading research on multimodal AI systems, improving AI alignment, and collaborating with interdisciplinary teams to develop novel tools and methodologies.