Job Information
Meta 3D Computer Vision Research Scientist (PhD) in Burlingame, California
Summary:
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.
Required Skills:
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
Contribute to and apply research that advances Meta products
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:
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:
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
Public Compensation:
$117,000/year to $173,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.