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Meta · 1 day ago

Research Scientist Intern, 3D World Modeling, Robotics and Generative AI (PhD)

United States

Internship

Remote

Intern

$7,650/mo - $12,134/mo

Meta is a technology company focused on connecting people and building immersive experiences like augmented and virtual reality. The Research Scientist Intern will engage in cutting-edge research to innovate machine perception functionalities and digital twins of 3D scenes, collaborating with a team to advance AR and VR technologies.

Computer Software

Comp. & Benefits

Responsibilities

Plan and execute cutting-edge research and development to advance the state-of-the-art in machine perception, state estimation, 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 and AI 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

Qualification

3D computer visionMachine learningPythonPytorchUnix environmentProjective geometryResearch publicationTeam collaboration

Required

Currently has, or is in the process of obtaining a PhD degree in the domain of computer-vision, computer graphics, 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

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, ICLR and NeurIPS

Strong track-record of published research in the fields of neural reconstruction, inverse rendering, 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)

Intent to return to a degree-program after the completion of the internship

Experience working and communicating cross functionally in a team environment