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.
Responsibilities:
- 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
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
- 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