AI Research Scientist, Multimodal Vision & On-Device Models

Meta

Burlingame (CA)

On-site

USD 122,000 - 181,000

Full time

7 hours ago
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Benefits offered by this job

Bonus
Equity
Benefits
Disability accommodations

Job summary

Meta Reality Labs is seeking Research Scientists to advance vision and multimodal perception. You will develop on-device models for image and video understanding and sensor fusion, collaborating with an interdisciplinary team across science and engineering.

Responsibilities include building and benchmarking new capabilities, training state-of-the-art methods, and working with large datasets and annotation tools. This role is based in Burlingame, CA, with competitive equity, bonus, and benefits.

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.
  • PhD in AI Research or related field is preferred.
  • Experience with deep learning, computer vision, robotics, or AI infrastructure.
  • Experience with Python and PyTorch.

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 for the next generation of AI.
  • Train and optimize state-of-the-art ML and neural network methodologies.
  • Work with large datasets and contribute to data annotation engines.

Skills

Python
PyTorch
Deep learning
Computer vision
Research communication

Education

Bachelor's degree in CS/CE or equivalent
PhD in AI/ML or related field

Job description

Meta Reality Labs is seeking Research Scientists to advance vision and multimodal perception. You will develop on-device models for image and video understanding and sensor fusion, collaborating with an interdisciplinary team across science and engineering.

Responsibilities include building and benchmarking new capabilities, training state-of-the-art methods, and working with large datasets and annotation tools. This role is based in Burlingame, CA, with competitive equity, bonus, and benefits.

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