What are the responsibilities and job description for the Robotics ML/CV Research Scientist, Reality Labs Research position at Oculus?
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.We are looking for a Research Scientist with expertise in multimodal ML and CV and experience in robotics applications to join our team within Reality Labs Research. You will work on advancing the state of the art for hand-centric foundation models for dexterous manipulation by leveraging groundbreaking advances in tools for human and robot data collection. 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.
Robotics ML/CV Research Scientist, Reality Labs Research Responsibilities:
Minimum Qualifications:
Preferred Qualifications:
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
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:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.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.
$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 benefits at Meta.
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.
$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 benefits at Meta.
Salary : $147,000 - $208,000
