3D Computer Vision Research Scientist
1 week ago
Meta Reality Labs brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today. Just as personal computers have done over the past 45 years, AR and VR will ultimately change everything about how we work, play, and connect. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interface, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. Some of those will advance much faster than others, but they all need to happen to enable AR and VR that are so compelling that they become an integral part of our lives.We are looking for a creative, skilled and motivated Research Scientist to join our team to build the future of communication - photorealistic telepresence. Our aspiration is to connect people separated by distance as if they were in the same room together. We achieve this by building and implementing production of state-of-the-art methods in computer vision and machine learning for human understanding and telepresence. These include (semi-) supervised deep learning, generative adversarial learning, active learning, depth sensing, 3D reconstruction, and rendering.
**3D Computer Vision Research Scientist (PhD) Responsibilities**:
- Conduct applied research to advance the science and technology in Computer Vision and Machine Learning (3D Reconstruction, Novel View Synthesis, Non-Rigid Tracking)
- Work towards long-term ambitious research/prodcut goals, while identifying intermediate milestones
- Conduct and collaborate on research projects within a globally-based team
- Contribute to key papers/projects that hold a position towards remarkable contribution to both the field/company
- and that have general applicability
- Work on a single large initiative or multiple projects of high complexity/scope where you can define a fairly clear long term objective with short and medium term sub-tasks as milestones
**Minimum Qualifications**:
- Currently has, or is in the process of obtaining a PhD in Computer Science, Computer Vision, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
- 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.
- Research background in machine learning, deep learning, computer vision, or related fields
- 3+ years experience in developing and debugging in C/C++, Python, C#, or similar programming language
- 3+ years experience in theoretical and empirical research and for addressing research problems
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
**Preferred Qualifications**:
- Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions
- First-authored publications at peer-reviewed conferences (e.g. CVPR. ECCV, ICCV, NeurIPS, and SIGGRAPH)
- Experience with Machine Learning Principles such as Deep Learning, Computer Vision, etc.
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward
- Experience working and communicating cross functionally in a team environment
- 3+ years of work experience in a university, industry, or government lab(s), in a role with primary emphasis on AI research
**About Meta**: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
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