Research Engineer, Robotics - Meta Superintelligence Labs

Meta•Menlo Park, CA

22h•$121,992 - $181,000

About The Position

Meta is seeking a Robotics and Embodied AI Researcher to join Meta Superintelligence Labs. Individuals in this role are proficient in identified research areas such as artificial intelligence, machine learning, robotics, and embodied AI, particularly including areas such as transfer learning, learning from demonstration, reinforcement learning, action-conditioned world models, perception, representation learning, robot control, navigation, mobile manipulation, dexterous manipulation, and vision-language models. You should have a keen interest in producing new, open science to make embodied agents more intelligent.

Requirements

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical field
Experience with any of the following research areas: robotics, motion planning, embodied AI, human-robot interaction, sim-to-real transfer, learning from demonstration, reinforcement learning, dexterous manipulation, digital agents, vision language models, computer vision, egocentric perception, and/or LLMs
Experience with machine learning models, and frameworks such as PyTorch, TensorFlow, etc
Proficiency in programming languages such as Python, C++, or similar

Nice To Haves

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)
1+ years of experience in robotics or related field, or advanced degree with equivalent experience
Experience designing and developing new robotic systems, platforms or infrastructure
Experience with robotics frameworks like ROS, along with experience working with robot simulations and real-world hardware
Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
Experience solving complex problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward
Experience working and communicating cross functionally in a team environment
Experience building systems based on machine learning and/or deep learning methods
PhD degree in computer science, robotics, AI, or related fields

Responsibilities

Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence
Collaborate with research scientists and engineers to design and implement state-of-the-art AI algorithms and models
Invent/improve novel data-driven paradigms for robotics, leveraging a variety of modalities (images, video, text, audio, tactile, etc)
Investigate paradigms that can deliver a spectrum of embodied behaviors - from simulated characters to real robots, and from short-horizon, low-level to long-horizon, high-level intelligence
Develop algorithms based on state-of-the-art machine learning and neural network methodologies
Build and benchmark new capabilities needed for the next generation of AI
Conduct research towards long-term research goals while identifying intermediate milestones