Job Description: Position Title: Research Engineer, Computer Vision
Length of Contract: 8 months
Location: Burlingame, CA
Is this role remote? Yes
Role Mandate:
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.
Role Responsibilities: 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, Client 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 Client 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.
Nice-to-Have Skills: Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward towards bringing state-of-the-art approaches onto real world devices.
Experience with distributed systems or large-scale datasets.
Experience in face, hand or body reconstruction and tracking.
Experience contributing to AI Publications at leading workshops or conferences such as CVPR, ECCV, ICCV, NeurIPS, and SIGGRAPH.
Soft Skills: Strong verbal and written communication skills, especially since role is remote - able to convey plans and write down roadmaps and milestones.
