Summary:
We are looking for a Research Scientist with expertise in AI for robotics to join our team within Reality Labs Research. You will work on advancing the state of the art for robot foundation models to develop robust autonomous robot policies for dexterous manipulation. You will work with a broad and highly interdisciplinary team of researchers, engineers, and designers, and will have access to cutting edge technology, resources, and testing facilities.
Required Skills:
AI Research Scientist, Robotics (Reality Labs Research) Responsibilities:
Develop machine learning and computer vision models for robotics to advance the state-of-the-art in robotics research
Design and implement ML pipelines to train robot policies
Develop experimental protocols for human/robot data collection and robot policy evaluation and analyze results
Minimum Qualifications:
Minimum Qualifications:
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
Ph.D. in Robotics, Artificial Intelligence, Computer science, relevant technical field, or equivalent practical experience
3+ years experience in advanced AI techniques for robotics applications, such as VLAs, imitation learning, and/or cross-embodiment transfer learning
3+ years experience in deploying and evaluating robot policies
3+ years experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and programming in Python
Preferred Qualifications:
Preferred Qualifications:
Track record of research output with work published in top conferences and journals such as Robotics (RSS, ICRA, IROS, CoRL, T-RO, IJRR), Machine Learning (NeurIPS, ICML, ICLR, AAAI, JMLR), and Computer Vision (CVPR, ICCV, ECCV, TPAMI)
Experience working and communicating cross-functionally to collaborate across disciplines and organizations
Public Compensation:
$117,000/year to $173,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
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