Drimva

Meta

AI Research Scientist, Multimodal Perception

$122K–$181K

Redmond, WA +1 · Full-time · Posted Oct 19, 2026

Location
Redmond, WA
Burlingame, CA
Experience
Research experience required; no number of years stated.
Education
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. The posting also labels the position “(PhD)” but does not specify a PhD as a degree requirement.
Visa sponsorship
Must obtain work authorization in the country of employment by the time of hire and maintain ongoing work authorization during employment.

About the job

Conduct research and develop efficient on-device models for image and video understanding, multimodal perception, and sensor fusion.

What you'll do

  • Build models that understand images and videos; conduct research on efficient vision encoders and multimodal LLMs.
  • Define, build, and benchmark capabilities for next-generation AI; train and optimize machine-learning and neural-network methods.
  • Work with large datasets and data-annotation engines, and collaborate across disciplines.

What they ask for

  • Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience; the posting also identifies the role as PhD-level.
  • Research experience in deep learning, computer vision, robotics, or AI infrastructure, with a focus on efficiency.
  • Experience with Python and PyTorch, software development, and executing complex experiments.
  • Research and software engineering experience, cross-functional teamwork, and a record of research results such as publications, grants, fellowships, or patents.

Pay

$122,000/year to $181,000/year USD base salary

Tools

Python, PyTorch

AI focus

Research and develop efficient vision and multimodal AI, including image and video understanding, sensor fusion, vision encoders, multimodal LLMs, and on-device models.

Model-written summary · the original posting is authoritative

First seen Oct 30, 2026 · Last verified Nov 5, 2026 (UTC)