- Research experience with humanoid robots, bimanual systems, or multi-fingered robotic hands.
- Experience developing robotic foundation models, multimodal transformers, diffusion or flow-based policies, or other large behavior models.
- Experience with reinforcement-learning fine-tuning, offline RL, reward modeling, preference learning, or autonomous policy improvement.
- Research on cross-embodiment transfer, multi-robot learning, or embodiment-general action representations.
- Experience developing or studying large-scale robotics datasets and data-scaling strategies.
- Experience combining autonomous rollouts, simulation, web-scale data, teleoperated data, and other heterogeneous data sources.
- Experience leading collaborations spanning algorithm development, infrastructure, and real-robot deployment.
Why Join FieldAI?
FieldAI is tackling one of robotics’ hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most.
You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX.
Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally.