Embodied AI Robotics Scientist – Cutting-Edge Research

Meta; Burlingame (CA); On-site; USD 219,000 - 301,000; Full time

Job summary

Meta is seeking an AI Research Scientist in robotics to advance embodied AI through fundamental and applied research. You will invent novel data-driven paradigms, work across modalities, and develop algorithms for the next generation of autonomous systems.

You will collaborate with a wide range of scientists and engineers, contribute to long-term product goals, and help build prototypes and architectures in a focused incubation team at Meta.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering or related field, or equivalent practical experience.
• PhD in Artificial Intelligence, Robotics, CS, ML, or related field, or equivalent practical experience.
• 5+ years of industry robotics research experience.
• Experience with robotics, motion planning, embodied AI, sim-to-real transfer, RL, and related areas.

Responsibilities

• Perform fundamental and applied research to push embodied AI frontiers.
• Invent data-driven paradigms for robotics using multiple modalities.
• Explore paradigms for behaviors from simulation to real robots across horizons.
• Develop algorithms using state-of-the-art ML/NN methods.
• Define, build, and benchmark new AI functionality for next-gen products.
• Conduct research aligned to long-term product goals with milestones.
• Lead and execute novel research based on organizational objectives.

Skills

Robotics research areas

Publications in ML/Robotics/CV venues

Open source contributions

Cross-functional collaboration

Python

Education

Bachelor’s degree in CS/CE or equivalent practical experience

PhD in AI/Robotics/CS or related field

Tools

PyTorch

TensorFlow

Job description

Meta is seeking an AI Research Scientist in robotics to advance embodied AI through fundamental and applied research. You will invent novel data-driven paradigms, work across modalities, and develop algorithms for the next generation of autonomous systems.

You will collaborate with a wide range of scientists and engineers, contribute to long-term product goals, and help build prototypes and architectures in a focused incubation team at Meta.