Top Tech Jobs & Startup Jobs in Seattle, WA

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 Senior Lead Product Designer will own the design process for AI products, translating complex concepts into user-friendly designs while collaborating with multi-disciplinary teams.

Support partner engagements by evaluating use cases, co-leading platform introductions, managing partner communications and CRM records, investigating and routing product issues to engineering, surfacing recurring patterns, and building repeatable operational processes to enable partner success and inform product development.

The Predoctoral Young Investigator role involves developing robots, exploring foundational models, and contributing to open-source research, tailored for early-career candidates aiming for PhD programs.

The Software Engineer will develop scalable, high-quality AI applications for environmental conservation, working on projects utilizing ML models and cloud technology.

The Director of AI Infrastructure oversees high-performance computing environments, manages GPU clusters, directs orchestration strategies, and serves as a technical bridge for research teams.

Provide legal counsel on AI-related issues, support development stages for AI technologies, and ensure compliance with regulations while guiding the organization on legal matters.

The Research Engineer will build AI tools for scientific discovery, developing ML and language models, and ensuring software engineering best practices in collaboration with an open-source community.

Design, build, and operate large-scale AI/HPC infrastructure spanning job scheduling (Beaker), runtimes, networking, and storage. Drive automation, performance optimization, root-cause analysis for distributed GPU workloads, mentor engineers, and collaborate with researchers to prioritize and deliver scalable orchestration and cluster health tooling.

The Research Engineer will design and implement scalable machine learning systems for next-gen language models, optimizing training and inference processes, while working collaboratively and contributing to open-source projects.