Research Engineer

The XR People Generation team works in collaboration with Reality Labs Research partners in order to deliver the future of communication - photorealistic telepresence via Codec Avatars. Our aspiration is to connect people separated by distance as if they were in the same room together. We achieve this by researching, developing and productionizing state-of-the-art methods in cross sections of computer graphics, computer vision and machine learning for human understanding and telepresence. These include (semi-) supervised deep learning, generative adversarial learning, active learning, neural rendering, depth sensing, 3D reconstruction, character animation and rendering. .

Candidate Value Proposition:The ideal candidate will be working on a priority project with a talented and supportive team. There are weekly team meetings and one-on-ones, where this individual will work alongside other teams.

Role Responsibilities (including, but not limited to):• Building evaluation and analysis systems and tooling to better understand the performance of our computer vision machine learning models• Conduct applied research in computer vision and machine learning (person semantic understanding, novel view synthesis, non-rigid tracking, etc.)• Advance the state of AI for your problem, including setting and executing against roadmaps for 6-month plus timeframes• Define methodology and benchmarks to evaluate different approaches

Must-Have Skills:• Experience in a research engineering capacity: defining evaluation metrics, building evaluation systems, running basic ML model experimentation• Research background in machine learning, deep learning, computer vision, or related fields• 3+ years of experience in developing and debugging in Python, C/C++, C#, or similar programming language• Experience working with Python• Experience working and communicating cross functionally in a team environment