MINIMUM QUALIFICATIONS

• 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
• 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

PREFERRED QUALIFICATIONS

• PhD in computer science, robotics, AI, or related fields
• 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 in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV)
• Proven knowledge of robotics fundamentals (perception, planning, control)
• Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
• Experience with generative AI experience, especially VLM
• Experience building systems based on machine learning and/or deep learning methods
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and different points of view to determine a path forward
• Experience working and communicating cross functionally in a team environment
• Experience with robot simulations and real-world hardware
• Experience designing and developing new robotic systems, platforms or infrastructure
  For those who live in or expect to work from California if hired for this position.

• Work closely with researchers 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 cross-functional stakeholders
• Publish research results and contribute to research that impacts Meta product development