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Generative Codec Avatars Research Scientist
MetaPittsburgh, United Statesfull_timeVerifiedPosted 8 Feb 2025
💰 $173,000/yr($117,000/yr – $173,000/yr)
About the role
The Generative Codec Avatars group at XRCIA is building social presence in VR and AR where people can interact with each other across distances in a way that is indistinguishable from in-person interactions. We are seeking exceptional researchers who are passionate about designing and implementing next generation digital human representations with large-scale training.Generative Codec Avatars Research Scientist Responsibilities
US$117,000/year to US$173,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity and Affirmative Action 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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice
- Develop and apply state-of-the-art generative models, such as Diffusion Models, GANs, and VAEs, to build foundational human models for codec avatars.
- Design and run large-scale experiments to evaluate the performance of generative models on various tasks, including: 1. Image/video generation: generating high-quality images and videos 2. Multi-view generation: generating 3D consistent and coherent images and 3D content.
- Collaborate with other teams to integrate generative models into the codec avatar pipeline and 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 Bachelor's degree in Computer Science, Computer Engineering, 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 PhD degree and/or postdoctoral assignment in the field of computer vision, computer graphics, machine learning, or a related field
- 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 generative models, such as Diffusion Models, GANs, or VAEs, and/or Vision Transformers
- 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 in implementation of large-scale training: parallelisms, sharding strategies, custom kernels.
- Experience with large-scale experiment design and execution.
- Familiarity with the avatars pipeline and/or experience working with human-centric data
US$117,000/year to US$173,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity and Affirmative Action 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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice
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