Skip to main contentA logo with &quat;the muse&quat; in dark blue text.

Research Engineer, Computer Vision - Creators

AT Meta
Meta

Research Engineer, Computer Vision - Creators

Seattle, WA

Meta is seeking AI Specialists with expertise in the Computer Vision and/or Multimodal domain to join our applied research team in the Creators pillar. We push boundaries across multiple modalities (e.g., video, audio, image, behavior understanding). You will contribute to advancing state-of-the-art machine learning research and apply it to drive product innovation across our Family of Apps.

Research Engineer, Computer Vision - Creators Responsibilities:

  • Train models for image/video/audio/behavior understanding.
  • Apply relevant AI and machine learning techniques to build intelligent rich perception systems that improve Meta's products and experiences.
  • Develop algorithms based on state-of-the-art machine learning and neural network methodologies.
  • Conduct research that enables learning the semantics of data (images, video, text, audio and other modalities).
  • Develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches.
  • Apply in-depth knowledge of how the machine learning system interacts with the other systems around it.
Minimum Qualifications:

Want more jobs like this?

Get jobs in Seattle, WA delivered to your inbox every week.

By signing up, you agree to our Terms of Service & Privacy Policy.

  • 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
  • 2+ years of industry experience in Generative AI, Computer Vision, or related fields.
  • Experience training Computer Vision or related AI/ML models.
  • Programming experience in Python and hands-on experience with frameworks such as PyTorch.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications:
  • Master's degree or PhD in Computer Science, Computer Engineering, or relevant technical field.
  • First-authored publications at peer-reviewed conferences (e.g. CVPR. ECCV, ICCV, NeurIPS, and SIGGRAPH).
  • Experience solving complex problems and comparing alternative solutions, tradeoffs, and broad points of view to determine a path forward.
  • Experience working on product or product research teams.
  • Experience working and communicating cross functionally in a team environment.
About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

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 accommodations-ext@fb.com.

$56.25/hour to $173,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Client-provided location(s): Seattle, WA, USA
Job ID: a1KDp00000E2WUbMAN_1002
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • FSA With Employer Contribution
    • HSA
    • HSA With Employer Contribution
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Unlimited Paid Time Off
    • Paid Holidays
    • Personal/Sick Days
    • Sabbatical
    • Leave of Absence
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Pension
    • Company Equity
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
  • Professional Development

    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program

Company Videos

Hear directly from employees about what it is like to work at Meta.