Meta Reality Labs is looking to improve interactions with augmented reality (AR) and virtual reality (VR) devices by exploring and implementing algorithms to utilize camera streams for tracking user and/or device states.
Requirements
- Deep understanding of at least one of the following areas (pose estimation, object tracking, multi-target tracking)
- Proficiency in Python, Pytorch, C++
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such a CVPR, ICCV, ECCV, ICML, NeurIPS, IJCAI, AAAI, AAMAS, EECV, ICLR, ICRA, IROS, RSS, CoRL etc
- Experience with real-time tracking single or multi-object tracking systems
Responsibilities
- Plan and execute cutting-edge research to advance AR/VR interaction technologies in the areas of hand pose estimation and tracking.
- Collaborate with other researchers, engineers, and user experience researchers to prototype hardware and software solutions, and run experiments to advance the project.
- Work with leading academic researchers in the field.
- The work should result in publishable research that appears in top-tier journals or at leading international conferences.
Other
- Currently has, or is in the process of obtaining, a PhD in Computer Vision, Machine Learning, Artificial Intelligence (AI), Robotics, Algorithms, Computational Mathematics or a related field
- Proven research skills involving defining problems, exploring solutions, and analyzing and presenting results
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
- Experience working and communicating cross functionally in a team environment
- Intent to return to degree-program after the completion of the internship/co-op
