Meta is seeking a Research Engineer to join the Fundamental AI Research organization (FAIR) to make significant progress in AI for robotics, developing novel AI advances and deploying them onto robot platforms to improve robot performance.
Requirements
- Experience in robotics related research areas, such as: 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
- Experience with robotics frameworks like ROS, along with experience working with robot simulations and real-world hardware.
- Experience designing and developing new robotic systems, platforms or infrastructure.
- Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources.
- Proven knowledge of robotics fundamentals (perception, planning, control)
Responsibilities
- 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
- Publish research results and contribute to research that impacts Meta product development
- Work closely with researchers cross-functional partners spanning multiple teams and disciplines to define technical goals and lead implementation
- Effectively communicate complex features and systems in detail to diverse stakeholders
Other
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 5+ years of industry experience, or advanced degree with equivalent experience
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV).
- Experience working and communicating cross functionally in a team environment.
