Research Scientist, 3D Generative AI (PhD)
London, UK
Meta
Giving people the power to build community and bring the world closer together
Meta Reality Labs brings together R&D team of researchers, developers, and engineers with the shared goal of developing AR and VR across the spectrum. The Core-AI group in Reality Labs is seeking research scientists to solve the next generation of research challenges on the path to building the 3D Metaverse. The aim of this role is to develop and advance state of the art research in 3D Generative AI technologies such as generating objects, materials, animation and worlds.Research Scientist, 3D Generative AI (PhD) Responsibilities
Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity 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 here.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
- Research and develop novel computer vision models in Generative AI, with a focus on 3D objects, textures and scene generation.
- Publish research results in top-tier journals and at leading international conferences.
- Collaborate with team members throughout the lifetime of a project, from early research through prototyping
- Working with product partners to deploy research into Meta's products.
- PhD in the field of computer vision, robotics, ML or equivalent
- Background in generative-ai, 3D computer vision, video and image generation.
- Experience designing machine learning algorithms, including experience creating software for data loading, training, and inference of novel ML architectures
- Experience working in cross functional collaboration
- 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, NeurIPS, ICLR, SIGGRAPH
- Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub.)
- Mathematical background and understanding of numerical optimization, linear algebra, probabilistic estimation and 3D geometry
Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity 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 here.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Tags: Architecture Computer Vision Generative AI GitHub ICLR Linear algebra Machine Learning Model inference NeurIPS Open Source PhD Physics Prototyping R R&D Research Robotics VR
Perks/benefits: Career development Conferences
Region:
Europe
Country:
United Kingdom
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