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Facebook Robotics ML/CV Research Scientist Reality Labs United States, Washington, Redmond 405262730
10.04.2025
At Reality Labs Research (RL-R), our goal is to explore, innovate and design novel interfaces and hardware subsystems for the next generation of virtual, augmented, and mixed reality experiences.
Robotics ML/CV Research Scientist, Reality Labs Research Responsibilities
- Develop machine learning and computer vision models for applications such as robotics, dexterous manipulation, hand pose estimation, object detection, contextual understanding, and gesture recognition
- Design and implement ML pipelines and systems that collect and process datasets and enable algorithm experimentation
- Develop experimental protocols for human-subjects research and collaborate across an interdisciplinary team to collect multimodal datasets from prototype wearable sensing systems
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- Ph.D. in Artificial Intelligence, Robotics, Computer science, relevant technical field, or equivalent practical experience
- 5+ years experience in advanced ML techniques such as representation learning, self-supervised learning, cross-embodiment, multimodal learning, vision-language-action (VLA) models, reinforcement learning, imitation learning, LLMs, and/or robotics policy development
- 5+ years experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and programming in Python
- 2+ years experience in robotics-related research areas
- Experience manipulating and analyzing complex, large scale, high-dimensionality multimodal data from varying sources
Preferred Qualifications
- A 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 designing data collection protocols and constructing high quality machine learning datasets
- Experience bringing-up and debugging prototype/scientific software-hardware systems (e.g., robotics platforms, multi-camera sensing/tracking solutions, wearable sensing systems)
- Experience working and communicating cross-functionally to collaborate across disciplines and organizations
About Meta
$147,000/year to $208,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about at Meta.
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