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Meta · 4 months ago

Research Scientist Intern, Large Foundation Models and Generative AI (PhD)

Redmond, WA

Internship

Onsite

Intern

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

Meta is a company that builds technologies to help people connect and grow communities, focusing on immersive experiences like augmented and virtual reality. They are seeking Research Scientist interns to contribute to the development of an egocentric AI system aimed at enhancing contextual-AI-enabled AR devices and humanoid robots, tackling cutting-edge research challenges in machine perception and computer vision.

Computer Software

Comp. & Benefits

No H1B

Responsibilities

Plan and execute cutting-edge research and development to advance the state-of-the-art in machine perception, future prediction, 4D scene understanding & reconstruction, robotics

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 visionLarge foundation modelsGenerative modelsPythonPytorchUnix environmentRoboticsComputer graphicsCross-functional communication

Required

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

Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Knowledge and hands-on experience on 3D computer vision

Hands-on experience implementing large foundation models and generative models, such as LLMs, VLMs, video diffusion models, LRMs, World Models, VLAs, Reinforcement Learning

Experience working within Python environments such as pytorch

Experience working in a Unix environment

Preferred

Ability to work a consecutive 24 weeks

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, ICLR, NeurIPS, CoRL/RSS/ICRA/IROS, SIGGRAPH/SIGGRAPH Asia, etc

Strong track-record of published research in the fields of generative modeling, large foundation models, robotics, neural reconstruction, and neural rendering

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