Top Research Jobs in Seattle, WA

Drive research and engineering for production-scale recommendation systems and real-time bidding. Design, prototype, and evaluate deep learning and LLM approaches, build and deploy scalable ML systems, optimize model accuracy and efficiency, and collaborate with cross-functional teams to integrate research into production advertising platforms.

Execute hands-on preclinical experiments for oncology and neurology programs, maintain mammalian cell cultures, run cell-based/molecular assays (viability, western blot, ELISA, qPCR, IF), manage samples and inventory, document data in electronic lab notebooks, support assay optimization, and maintain lab equipment and organization.

Lead and execute in vitro and ex vivo oncology studies to evaluate drug activity, mechanisms of action, and resistance. Design, optimize, and run cell-based and immune-relevant assays, analyze complex datasets, and generate actionable insights to inform translational and clinical development. Contribute to reports, publications, patents, and program strategy while managing multiple projects in a fast-paced research environment.

Design and execute in vitro and ex vivo oncology studies; perform cell-based, molecular, and biochemical assays (Western blot, qPCR, ELISA, immunofluorescence); maintain mammalian cell lines; analyze and summarize data, maintain ELNs and SOPs; conduct literature reviews and communicate results to support preclinical oncology drug development.

The AI Research Engineer will design, build, and deploy AI systems for therapeutic discovery, collaborating with interdisciplinary teams and applying advanced AI techniques to improve model performance.

The Territory Administrator manages administrative functions including financial admin, facilities management, vendor management, and operational reporting across ALSAC properties.

The role involves developing AI models for fault-tolerant quantum systems, conducting research in quantum computing, and collaborating with teams to integrate AI solutions into quantum hardware.

Design and build real-time, physics-informed AI models and synthetic data pipelines for quantum calibration and decoding. Develop surrogate models and GPU-accelerated implementations, apply reinforcement and online learning for calibration policies, co-design low-latency calibration-decoding systems, and collaborate across engineering and research to enable fault-tolerant quantum hardware.

Lead research and development of high‑fidelity, physics‑based quantum device models, noise models, and synthetic data pipelines. Build GPU‑accelerated simulation frameworks, validate models against experiments, and collaborate with product, engineering, and research teams to enable fault‑tolerant quantum hardware simulation and real‑time modeling.

As a Run Behavior Researcher II, you will design and lead studies on runner behavior, analyze data, and collaborate with teams to inform product design decisions for improved running experiences.

Manage research programs in exercise physiology to enhance runner performance and reduce injuries, collaborating with product teams, analyzing data, and leading innovative studies.

Manage end-to-end user and product research for Philips Sonicare, including participant recruitment and database growth, study setup, IRB submissions, and maintenance of study documentation. Ensure compliance with QMS, GCP, and GDP in a regulated medical device environment. Coordinate participant experience, logistics, equipment and supplies, drive process standardization and continuous improvement, and partner with Privacy and global research teams to scale research practices and insights.

Perform mammalian cell culture and viral packaging, extract nucleic acids from cells and brain tissue, prepare NGS libraries, perform PCR and advanced molecular cloning, and follow SOPs and biosafety requirements to enable genome engineering and protein localization studies in mouse brain.

Drive LLM training and inference efficiency by profiling, benchmarking, and optimizing GPU kernels and deep learning systems. Implement latency and resource-use reductions, scale system performance, contribute to agentic frameworks, and publish open-source innovations and research.

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.

The Research Support Pharmacist oversees investigational drug operations, ensuring compliance and supporting clinical research across MultiCare Health System, while also providing training and serving as a liaison among various stakeholders.

The Director leads engineering and research for AI applications, managing interdisciplinary teams, driving technical roadmaps, and fostering collaboration across functions to deliver impactful AI initiatives.

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.

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.

The Research Scientist will develop AI systems with deep reasoning capabilities, contribute to open-source research, and mentor early-career researchers. Responsibilities include leading foundational research, authoring technical reports, collaborating with teams, and advancing agentic systems.

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.

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.