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The role involves developing AI-powered user interfaces and backend services, collaborating with teams, improving system reliability, and mentoring junior engineers.

The Research Scientist will develop core research problems in robotics, engage in simulations, lead projects, mentor interns, and collaborate widely.

The role involves developing and maintaining robotic control stacks, managing sim-to-real pipelines, and collaborating with researchers on robotic learning projects.

The Young Investigator in Robotics will focus on developing and applying AI methods in robotics, including manipulation, skill learning, and sim-to-real transfer while individually pursuing independent research.

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.

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 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.

Collaborate with Ai2 researchers on language-model and NLP research, gain hands-on experience with Ai2's data and engineering infrastructure, co-author papers for top venues, and prepare for PhD studies. Work is research-focused with mentorship and no teaching/admin duties. On-site work in Seattle is expected.

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.

Lead day-to-day operations of on-prem GPU HPC clusters and orchestration across hybrid cloud. Ensure platform reliability, performance, storage, and utilization; operate Beaker/Kubernetes/Slurm; manage vendor coordination, budgeted GPU allocation, user support, and a team of systems engineers, SREs, and developers to deliver the infrastructure roadmap.