At Meta Reality Labs, we are developing wearable sensing technologies that will define the future of AI experiences. We are looking for a creative, skilled, and motivated Research Scientist to join our team in advancing the state-of-the-art of computer vision and multi-modal sensing with wearables, including action and gesture recognition, object detection and tracking. You will work with research scientists, software engineers and hardware engineers to design wearable sensing systems in a fast-paced multidisciplinary environment. The ideal candidate is a recognized expert in the field of computer vision and machine learning and has a track record in building user-facing, real-time, interactive applications.
- Implement state-of-the-art computer vision methods for wearable AI experiences, including gesture recognition, object detection, scene understanding
- Plan and execute research that advances the state-of-the-art and improves our wearable sensing systems
- Collaborate across an interdisciplinary team of researchers and engineers to optimize solutions at the systems level (sensor hardware, data collections, training, evaluation, real-time inference)
- Design and implement multi-modal models that combine cameras with other sensors, including IMUs and neural interfaces
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- PhD degree or equivalent experience in Computer Science, Mathematics, Engineering or a related field
- 5+ years of hands-on experience in researching and developing Computer Vision algorithms and systems in academia or industrial setting
- 5+ Experience writing software (Python and C/C++) and executing complex Machine Learning experiments
- 3+ years of experience working with Deep Learning
- Experience working and communicating in a cross-functional, diverse team environment
Preferred Qualifications
- Experience with Human Computer Interaction and interactive applications of Computer Vision and Machine Learning
- Experience with low-level image and signal processing
- Experience with joint hardware-software development and rapid prototyping of camera and sensors hardware
- Experience designing data collection protocols and constructing high quality Computer Vision and Machine Learning datasets
- Experience transferring technology from research in Computer Vision, Machine Perception or Machine Learning into a shipping product
- Track record of significant scientific results as demonstrated by grants, fellowships, patents, as well as first-authored publications at top-tier conferences such as CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, ICLR, ACL or similar
For those who live in or expect to work from California if hired for this position, please click here for additional information.
Locations
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.
$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.
Equal Employment Opportunity and Affirmative Action
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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.