Meta is seeking a researcher to join Meta Fundamental AI Research (FAIR) to make significant progress in AI, particularly in areas such as artificial intelligence, machine learning, robotics, and embodied AI.
Requirements
- Experience with deep learning frameworks (such as pytorch, tensorflow) and Python
- 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 building systems based on machine learning and/or deep learning methods
- Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
- Experience with robotics frameworks like ROS, along with experience working with robot simulations and real-world hardware
- Experience with sim-to-real transfer
- Experience with learning from demonstration
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.
- Investigate algorithmic development and application of foundation models for embodied AI and/or robotics
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.
- 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.
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences
- Experience working and communicating cross functionally in a team environment
