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Meta · 1 day ago

AI Research Scientist, ML and 3D Computer Vision (PhD)

Redmond, WA

Full-time

Onsite

Mid, Senior Level

$122K/yr - $181K/yr

Meta is a technology company that builds solutions to connect people and foster communities. They are seeking an AI Research Scientist to join their Reality Labs Research Team, focusing on advancing 3D computer vision and machine reasoning for VR and AR devices.

Computer Software

Comp. & Benefits

Responsibilities

Lead, collaborate, and execute on research that pushes forward the state of the art in 3D computer vision, multimodal reasoning and generative approaches

Directly contribute to experiments, including designing experimental details, creating reusable code, running evaluations, and organizing results

Work with the team to help design, setup, and run practical experiments and prototype systems related to large-scale, long-duration sensing and machine reasoning

Contribute to publications and open-sourcing efforts

Qualification

3D MLComputer VisionGenerative 3D modelingVideo understandingObject TrackingResearch communicationSoftware engineeringProblem solvingCross-functional teamwork

Required

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 in the field of Computer Vision, Computer Science, Mathematics, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta

Research experience in 3D ML and AI research, specifically around Video understanding, Video generation, Object Tracking / Detection / Segmentation, 3D semantic scene understanding, or generative 3D scene modeling

Experience communicating research for public audiences of peers

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

Preferred

Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as CVPR, NeurIPS, ECCV, ICCV, IROS, ICRA, or similar

Experience solving complex problems and comparing alternative solutions, tradeoffs, and different points of view to determine a path forward

Experience working and communicating cross functionally in a team environment