Ai2's Robotics team aims to develop simulation environments, data generation, and benchmarking skills to enable rigorous scientific investigation of core building blocks and scaling properties of robot foundation models. The insights gained will inform the development of capable foundation models for real-world robots.
Requirements
- A strong foundation (typically PhD level) in one or more of the following areas: robot manipulation, planning and motion generation, RL and imitation learning, real world robot systems, simulation environments and sim2real, vision-language-action models.
- A strong publication record in AI-related areas. Example venues include ICRA, RSS, CVPR, ICCV, ECCV, NeurIPS, ICLR, etc.
- Strong software engineering skills.
- Experience working with real robot systems and/or with deep learning frameworks.
- Research experience in related areas like large-scale multi-node training, training dynamics, efficiency, data curation, multimodal model debugging, post-training methods, among others.
- Contributions to open-source research libraries.
Responsibilities
- Develop and investigate core research problems in foundation models and skills for robotics
- Contribute to the development of completely open data sets, benchmarks, and models
- Experiment with robots in the real world
- Make vision-language-action models more robust and capable
- Make substantial contributions to the tools needed for robust, reproducible, and distributed experimentation
- Enable agents that safely navigate, manipulate objects, and follow instructions in simulation and in the real world (w/ real robots)
Other
- Persons in these roles are expected to spend part of their time on-site in our Seattle offices and may occasionally work remotely from their home in the Greater Seattle area.
- International candidates are welcome to apply.
- Visa sponsorship is available.
- 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.
