Research Scientist - Computer Vision - XR Tech Core AI

Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, wire-free AR/MR/VR, and push the future of computing platforms.

We are a team of world-class experts developing and shipping products at the intersection of hardware, software and content.The Core AI team brings together a world class team of applied CV ML researchers working on a range of problems in Mixed/Virtual and Augmented Reality including 3D Vision, Neural Rendering, 3D Generative-AI, Vision Language Models, Scene Understanding, and Neural Avatars.

We do a mix of fundamental research and technology development.

We are seeking exceptional researchers with a background in 3D Computer Vision to join our team.

Responsibilities:

Research Scientist - Computer Vision - XR Tech Core AI Responsibilities:

Conduct applied research to advance the State of the Art in 3D Computer Vision (Depth Estimation, spatial and 3D scene understanding, Neural Rendering, Generative-AI for Avatars) and Vision Language / Multimodal Models.

Apply research to advance Meta's VR, MR and AR products and experiences.

Consistently and sustainably advance the state of the art for your problem, including setting and executing against roadmaps for 6-month plus timeframes.

Collaborate with different cross-functional teams across the globe in research and product.

Present the outcomes of the research findings as papers in top tier conferences in the area of CV and Graphics.

Qualification and experience:

Minimum Qualifications:

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta

Proven development skills in deep learning, working with PyTorch or TensorFlow.

Experience developing computer vision algorithms or infrastructure in Python or C/C++.

Experience in one or more of the following areas: Deep Learning, Computer Vision, AR/MR/VR, 3D Vision, Robotics, Machine Learning or artificial intelligence

First-authored publications at peer-reviewed conferences, e.g. CVPR. ECCV, ICCV, NeurIPS, SIGGRAPH.

Preferred:

Preferred Qualifications:

PhD in Computer Science or a related field with published projects in the fields of machine learning, deep learning and/or computer vision.

Experience solving complex problems and comparing alternative solutions and trade-offs to determine a path forward.

Experience with CPU/GPU and mobile optimization.