Jobs at Ai2

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.

Manage federal and private grant lifecycles including onboarding, post-award administration, subrecipient monitoring, budget tracking, reporting, and maintaining audit-ready records. Act as GMS power-user, support federal submission systems, schedule meetings, document control, and help implement AI-augmented administrative workflows.

Lead partnership and adoption strategy for an AI-driven ocean protection program. Manage and mentor a remote partnerships team, drive product adoption and metrics, oversee contractors and legal/comms interfaces, represent the program externally, and support training, data delivery, and certification services. Term-limited 12-month role with possible extension or conversion.

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.

The role involves leading a research project on large language models, mentoring junior researchers, and publishing scientific papers, with a focus on advanced natural language processing methods.

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.

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

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.

As an Infrastructure Engineer, you will automate systems, troubleshoot internal systems, and enhance infrastructure to support the company's IT initiatives. You'll collaborate with teams to improve user management and security processes.

Senior HR business partner responsible for advising leaders, designing and executing talent programs, workforce planning, employee relations, compliance, and employee experience initiatives. Drives talent assessment, development, employer branding, and data-driven people decisions while partnering with cross-functional teams to attract, retain, and grow technical talent.