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AI Research Scientist, Multimodal Perception

Meta

Burlingame, CAJob$122–181K/yrSeen 1w agoSeen in employer's feed 1w ago

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At a glance

Compensation
$122–181K/yr
Location
Burlingame, CA
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Meta seeks a Research Scientist in its Reality Labs organization to advance vision and multimodal perception. The role focuses on vision models, image and video understanding, and sensor fusion, including efficient on-device models. The scientist will work with an interdisciplinary team and use research facilities and technology to help develop new ways of perceiving the world.

Skills & qualifications

RequiredNice to have

Skills

Deep LearningComputer VisionRoboticsAI InfrastructurePythonPyTorchSoftware DevelopmentComplex ExperimentsResearch CommunicationProblem SolvingTradeoff AnalysisSoftware EngineeringResearch EfficiencyCross-Functional CommunicationTeamwork

Qualifications

Bachelor's in Computer Science, Computer Engineering, Relevant Technical Field, or Equivalent Practical ExperiencePhD in Multimodal PerceptionResearch ExperienceInternship, Work Experience, Coding Competitions, or Open Source ContributionsGrants, Fellowships, Patents, or Leading Publications

Full job description

Summary:

Meta is seeking Research Scientists to join Meta Reality Labs organization to work on making significant advances in vision and multi-modal perception. You will work on vision models, image and video understanding and sensor fusion. The team builds efficient on-device models that will be the foundation for a new paradigm in how we perceive the world. You will work with a highly interdisciplinary team of scientists, engineers, and cross-functional partners with a broad range of experiences, perspectives, approaches, and backgrounds and access cutting-edge technology, resources, and research facilities.

Required Skills:

AI Research Scientist, Multimodal Perception Responsibilities:

  1. Build models that can understand images and videos

  2. Conduct research and work with efficient vision encoders, multi-modal LLMs

  3. Define, build and benchmark new capabilities needed for the next generation of AI

  4. Train and optimize state-of-the-art machine learning and neural network methodologies

  5. Work with and create large datasets, and contribute to data annotation engines

Minimum Qualifications:

Minimum Qualifications:

  1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

  2. AI Research Scientist, multimodal perception (PhD)

  3. Research Experience in deep learning, computer vision, robotics, or AI infrastructure

  4. Experience with Python and PyTorch

  5. Experience developing software and executing complex experiments

  6. Experience communicating research for public audiences of peers

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

Preferred Qualifications:

Preferred Qualifications:

  1. Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward

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

  3. Research experience with efficiency as a focus

  4. Experience working and communicating cross functionally in a team environment

  5. 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, ICCV, ECCV, ICML, NeurIPS or similar

Public Compensation:

$122,000/year to $181,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].

How this job compares

Set against the 2,211 open Research Scientist jobs on Olive Jobs, counted November 7, 2026.

Pay
  • This posting$122–181K/yr
  • California median$174–268K/yr495 salary ranges
  • US median$142–217K/yr1,470 salary ranges

This range's midpoint, $152K, is 32% below the California median midpoint ($224K) — in the lowest quarter of Research Scientist salary ranges in California.

Openings
Olive Jobs lists 738 open Research Scientist jobs in California and 2,211 across the US. 3% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
Research Scientist postings that state a minimum ask for 3 years of experience at the median; the middle half ask for 2 to 6 years (1,141 postings).
Education
1,088 of the 2,211 open Research Scientist jobs (49%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 7, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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