Top Research Jobs in Seattle, WA

Lead independent deep learning research focused on foundation models and multimodal intelligence, collaborate with researchers and product groups, publish top-tier work, and translate research breakthroughs into products and services.

Develop and apply LC-MS/MS and GC-MS workflows to analyze organic contaminants (pesticides, pharmaceuticals, disinfection by-products) accumulated on point-of-use water filters. Implement methods for laboratory testing and a pilot testing program at WashU.

Coordinate and implement clinical research studies, collect and manage clinical data from charts, interviews, tests and other sources, assist in defining data collection guidelines, support IRB-related administrative tasks, and ensure protocol compliance and subject protection training.

Lead and manage a Run Research team studying runners' mental performance and experience. Design and execute lab and field studies, translate quantitative and qualitative findings into product insights, advance data collection and analysis, and collaborate cross-functionally to influence footwear and experience development. Oversee project portfolios, mentor team members, and present research internally and externally.

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.

Support large-scale synapse and neuronal-population proteomics by performing mouse tissue dissections, synapse isolation, proteomic sample preparation, histology, fluorescence imaging and sorting, and related molecular biology and viral vector workflows. Maintain lab records, follow SOPs and regulatory requirements, troubleshoot and optimize protocols, coordinate with cores, and present results within a collaborative team environment.

Lead and grow a team of research scientists to define and execute research strategy for multimodal content understanding, document intelligence, memory systems, and knowledge-centric AI. Drive translation of scientific advances into production services by partnering with engineering, product, and platform teams to deliver enterprise-scale AI capabilities.

Lead and execute in vitro and ex vivo oncology studies to evaluate therapeutic activity, mechanisms of action, resistance biology, and pathway modulation. Design, optimize, and troubleshoot cell- and molecular-biology assays, analyze complex datasets, and translate preclinical findings into development strategy, contributing to reports, presentations, publications, and patent filings.

Coordinate and implement clinical research studies for cardiac, thoracic, and vascular trials. Manage subject identification, data capture (eCRF/EDC), drug accountability, adverse event reporting, study visits, monitor visits, and regulatory compliance. Ensure timely documentation, protocol adherence, and collaboration with clinical teams and sponsors.

Perform hands-on wet-lab experiments from sample preparation through analysis and interpretation across diagnostic and therapeutic programs. Maintain meticulous notebooks, run quantitative and cell-based assays, apply quality control, prepare standards and controls, and support method development and cross-disciplinary projects in chemistry, biochemistry, and biology.

Design, engineer, and research agentic systems to bridge LLM agent research with engineering for chip design workflows, collaborating with various teams and evaluating performance metrics.

The intern will work on researching and developing advanced techniques related to game graphics, animation, simulation, and machine learning while collaborating with scientists.

Contribute to AI research in LLM post-training and reinforcement learning, developing scalable systems for Zoom's AI Companion. Engage in innovative research, implement model architectures, and partner with teams to translate prototypes into production systems.

Build, maintain, and improve algorithms and infrastructure for finetuning and RL training (RLHF) of large language models. Improve speed, reliability, and usability of training pipelines through profiling, instrumentation, debugging GIL contention, launching test jobs, and implementing research algorithms to support production and internal model training.

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.

As a Senior Optical Engineer, you will design and validate optical systems for quantum networking, focusing on Bell State Analyzers and quantum tomography modules.

Design, modernize, and build cloud-native applications for quantitative portfolio tools. Integrate third-party data, implement secure coding practices, create unit/integration tests, perform code reviews, and use AWS, Kafka, Docker, Terraform, and NoSQL technologies. Collaborate with business and development teams and drive cross-functional software initiatives.

Build and maintain generative AI and agentic systems: create data, evaluation, and training pipelines; develop models and agent frameworks; prototype end-to-end experiences; collaborate with researchers, engineers, and PMs to translate research into production-ready proofs of concept.

Lead design, execution, and optimization of spatial transcriptomics studies to characterize tissue architecture, cell interactions, and therapeutic response. Generate and integrate spatial data with single-cell, proteomic, imaging, and histologic datasets, develop robust sample and assay workflows, evaluate new spatial technologies, communicate findings, and mentor junior scientists to support discovery, translational, and biomarker programs.

Lead design, optimization, and execution of high-parameter flow cytometry assays and multicolor immunophenotyping. Integrate cytometry with molecular profiling, analyze complex data to inform translational hypotheses, establish best practices, troubleshoot assays, mentor junior staff, and drive cytometry workstreams across discovery and development programs.

Design, train, and deploy large-scale AI/ML models for multimodal biological data; build research-grade ML infrastructure and data pipelines; collaborate with scientists and engineers; establish best practices and community standards; publish and open-source methods and code.

Lead end-to-end research in computer vision and ML to develop multimodal, privacy-preserving models for cloud and edge devices. Design, optimize, and validate algorithms (scene understanding, action recognition, anomaly detection), produce metrics, mentor junior scientists, and translate research into production-ready, efficient solutions while contributing publications and patents.

Support the Managed Assets Research department in delivering high-quality investment solutions through research, communications, and client portfolio reviews.

Design and build scalable training and learning platforms for physical AI: representation learning, latent world models, policy/action pipelines, generative simulators, and multimodal reasoning. Lead cross-team technical decisions, productionize research prototypes, and contribute to open research and OSS.

Lead on-site clinical monitoring for oncology/hematology trials: conduct site selection, initiation, routine and close-out visits; ensure ICH-GCP and regulatory compliance; maintain CTMS/eTMF documentation; monitor patient safety and AE/SAE reporting; oversee drug accountability, support recruitment and retention, resolve data queries, track site budgets, and escalate risks to clinical teams while collaborating cross-functionally.