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Research Scientist Intern, 3D Generative AI
4 months ago
Summary:
The Meta Reality Labs Research Team brings together a world-class team of researchers, developers, and engineers to create the future of AR and VR. The Surreal Vision group at FRL Research is seeking exceptional Research Scientists to research and help build the egocentric machine perception functionalities and digital twins of 3D scenes that will underpin future VR and contextual-AI-enabled AR devices. The research intern will work on cutting edge research of innovating novel computer vision techniques using neural reconstruction and generative AI modeling techniques. Our internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year.
Required Skills:
Research Scientist Intern, 3D Generative AI (PhD) Responsibilities:
- Plan and execute cutting-edge research and development to advance the state-of-the-art in machine perception, reconstruction and rendering of 3D objects and scenes.
- Collaborate with other researchers and engineers across machine perception teams at Meta to develop experiments, prototypes, and concepts that advance the state-of-the-art in AR/VR systems.
- Work with the team to help design, setup, and run practical experiments and prototype systems related to large-scale high quality sensing and machine reasoning.
Minimum Qualifications:
Minimum Qualifications:
- Currently has, or is in the process of obtaining a PhD degree in the domain of computer-vision, 3D machine perception or machine learning.
- Knowledge and hands-on experience working with 3D and projective geometry, in addition to image-space computer vision.
- Hands-on experience implementing 3D computer vision algorithms as well as end-to-end training of ML models from data collection and design to evaluation.
- Experience working within Python environments such as pytorch.
- Experience working in a Unix environment.
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications:
Preferred Qualifications:
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, ECCV/ICCV, SIGGRAPH, SIGGRAPH ASIA, NeurIPS.
- Strong track-record of published research in the fields of neural reconstruction, neural rendering, object reconstruction and tracking, generative modeling.
- Strong programming experience using python and pytorch.
- Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
- Experience working and communicating cross functionally in a team environment.
- Intent to return to a degree-program after the completion of the internship.
Public Compensation:
$7,650/month to $11,333/month + 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-
