Meta is seeking a researcher to advance the field of Artificial Intelligence, specifically in embodied AI and robotics, with the goal of making embodied agents more intelligent and creating new, open science in this area.
Requirements
- 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, LLMs, NLP, and/or tool usage
- Experience with deep learning frameworks (such as pytorch, tensorflow) and Python
- 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)
- Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
- Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
- Experience building systems based on machine learning and/or deep learning methods
- Experience with robotics frameworks like ROS, along with experience working with robot simulations and real-world hardware
Responsibilities
- Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence.
- Invent/improve novel data-driven paradigms for embodied intelligence, including AR, VR, and 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.
- Define, build and benchmark new capabilities needed for the next generation of AI.
- Conduct research towards long-term ambitious research goals while identifying intermediate milestones.
Other
- 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
- Currently has or is in the process of obtaining a PhD degree in the field of Artificial Intelligence, Robotics, Computer Vision, Machine Learning, Language, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward
- Experience working and communicating cross functionally in a team environment
