To continue efforts in the path to AGI and move closer to a future with intelligent robots and advanced AI models at Meta
Requirements
- Experience in robotics related research areas, such as: generative AI, robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer, robotic control, manipulation, navigation, or generally embodied AI
- Experience with machine learning models, and frameworks such as PyTorch, TensorFlow, etc
- Proficiency in programming languages such as Python, C++, or similar
- Proven knowledge of robotics fundamentals (perception, planning, control)
- Experience with generative AI, especially VLM
- Experience with robot simulations and real-world hardware
- Experience building systems based on machine learning and/or deep learning methods
Responsibilities
- Work closely with researchers and cross-functional partners spanning multiple teams and disciplines to define technical goals and lead implementation
- Collaborate with research scientists and engineers to design and implement state-of-the-art AI algorithms and models on real robot hardware and simulation environments
- Design and conduct thorough evaluations of AI models on real-world robotic systems, identifying limitations, and proposing improvements to enhance their performance and robustness
- Effectively communicate complex features and systems in detail to diverse stakeholders
- Publish research results and contribute to research that impacts Meta product development
Other
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 5+ years of experience in robotics or related field, or advanced degree with equivalent experience
- 7+ years of industry experience, or advanced degree with equivalent experience
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences
- Experience working and communicating cross functionally in a team environment
