Codec Avatars Research Scientist
Pittsburgh, PA
You will partner with software developers and research interns, collaborating together on the innovation necessary to build the foundations of social presence technology. At our lab, you will be exposed to facilities, algorithms, and data that are years ahead of anything else in existence today. We want people who seek both the best quality and widest reach in their work.Codec Avatars Research Scientist Responsibilities
- Develop state-of-the-art algorithms and models that can transform information deficient inputs (e.g. cameras with limited visibility, pose, text, audio) into indistinguishable-from-reality VR representations (e.g. bodies, hair, clothes, motion, )
- Collaborate with other teams to push the research that enables mid to long-term products.
- Publish research results in top-tier journals and at leading international conferences
- Currently has or is in the process of obtaining a PhD degree and/or postdoctoral assignment in the field of computer vision, computer graphics, machine learning or a related field.
- 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.
- First author publications in computer vision, machine learning or computer graphics peer-reviewed conferences (e.g. CVPR, ECCV, ICCV, NeurIPS, ICLR, or SIGGRAPH, etc.).
- Experience with large-scale training and 3D human modeling.
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
- Proven track record of achieving significant research results as demonstrated by grants, fellowships and/or patents.
- Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
- 3+ years of experience with prototyping algorithms in Python.
- Experience with generative models such as Diffusion Models, GANs or VAEs for image and geometry generation.
- Experience with Neural Rendering, or Large-scale training.
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
Tags: Computer Science Computer Vision Diffusion models Engineering GANs Generative modeling GitHub ICLR Machine Learning NeurIPS Open Source PhD Physics Prototyping Python Research VR
Perks/benefits: Career development Conferences Equity Flex vacation Health care Salary bonus
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