AI Research Scientist, Multimodal Perception

Meta•Redmond, WA

1d•$122,000 - $181,000

About The Position

Meta is seeking Research Scientists to join the Meta Reality Labs organization and make significant advances in vision and multimodal perception. The role focuses on vision models, image and video understanding, and sensor fusion. The team builds efficient on-device models intended to support a new paradigm in how people perceive the world. The Research Scientist works with an interdisciplinary group of scientists, engineers, and cross-functional partners and has access to cutting-edge technology, resources, and research facilities.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
Research experience in deep learning, computer vision, robotics, or AI infrastructure.
Experience with Python and PyTorch.
Experience developing software and executing complex experiments.
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.

Nice To Haves

Experience solving complex problems and comparing alternative solutions, tradeoffs, and perspectives to determine a path forward.
Demonstrated research and software engineering experience through an internship, work experience, coding competitions, or widely used open-source contributions, such as GitHub repositories.
Research experience with efficiency as a focus.
Experience working and communicating cross-functionally in a team environment.
Proven track record of significant results demonstrated by grants, fellowships, patents, or publications at leading workshops, journals, or conferences such as CVPR, ICCV, ECCV, ICML, or NeurIPS.

Responsibilities

Build models that can understand images and videos.
Conduct research and work with efficient vision encoders and multimodal LLMs.
Define, build, and benchmark new capabilities needed for the next generation of AI.
Train and optimize state-of-the-art machine learning and neural network methodologies.
Work with and create large datasets, and contribute to data annotation engines.