Research Scientist, Robotics

Persons in these roles are expected to work from our offices in Seattle.

On‑site requirements vary based on position and team. If you have questions about on‑site work arrangements for this role, please ask your recruiter.

Our base salary range is $167,030 – $260,570, and in addition we have generous bonus plans to provide a competitive compensation package.

Research Scientists in the Ai2 Robotics Team will have the unique opportunity to develop and investigate core research problems in foundation models for robotics, and contribute to the development of completely open methods, data sets, benchmarks, and models. They will experiment with large‑scale simulation tools and robots in the real world.

Research Scientists will work on multiple exciting research projects in the above areas but can also contribute and engage in a variety of other activities critical to our research and mission. These include opportunities to lead projects, mentor interns and pre‑doctoral candidates, author and present scientific papers, and collaborate with researchers at other organizations including universities.

At Ai2, you will be working with world‑class AI and robotics researchers and talented software engineers. You will perform team‑based, ambitious research, with a mandate to strive for big breakthroughs, not just incremental progress, in an exciting and interactive workplace.

Ai2’s Robotics team is led by Dieter Fox. We aim to develop and leverage scalable simulation domains to scientifically investigate the scaling and generalization capabilities of foundation models for robotics, and use these insights to develop broadly competent robots. Following a longstanding tradition at Ai2, we are committed to fully open‑source research and work toward application domains with a positive impact on society.

We are looking for applicants interested in robotics, with a focus on core techniques in robot manipulation, large‑scale training in simulated environments, sim‑to‑real transfer, robot foundation models, and skill learning.

We regularly publish in high‑profile conferences and journals in robotics (CoRL, ICRA, RSS), computer vision (CVPR, ICCV, ECCV), and machine learning (NeurIPS, ICLR, ICML). We collaborate frequently with researchers on other Ai2 teams focused on computer vision, large language models, and others. Our main office has close ties and unique access to researchers at the University of Washington, only 1.5 miles away.

Researchers excited about such internal and external collaborations are encouraged to apply.

At Ai2, you will be working with world‑class AI researchers and talented software engineers. We perform team‑based, ambitious research, with a mandate to strive for big breakthroughs, not just incremental progress, in an exciting and interactive workplace.

All scientists have the opportunity to mentor interns (and other students) and will participate directly in Ai2’s groundbreaking work. There are no restrictions on publications.

• A strong foundation (typically PhD level) in one or more of the following areas: robot manipulation, planning and control, RL and imitation learning, real‑world robot systems, simulation environments and sim‑to‑real, and world models and foundation models.
• A strong publication record in AI‑related areas. Example venues include CoRL, ICRA, RSS, CVPR, ICCV, ECCV, NeurIPS, ICLR, etc. Contributions to research communities (e.g., workshop organization, tutorials) are a plus.
• Strong software engineering skills. Experience working with real robot systems and/or with deep learning frameworks.
• (Optional) Research experience in related areas like large‑scale multi‑node training, training dynamics, efficiency, data curation, and multimodal model debugging, post‑training methods, among others.
• (Optional) Contributions to open‑source research libraries.

• Must be able to remain in a stationary position for long periods of time.
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.
• The ability to observe details at…