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

Research Scientist, Computer Vision for Generative AI

AT Meta
Meta

Research Scientist, Computer Vision for Generative AI

Menlo Park, CA

Meta is seeking a Research Scientist to join our our Media Foundation Modeling team in advancing the state-of-the-art of image and video foundation models. The ideal candidate will have an interest in producing and applying new science to help us develop and define the future of content creation, productivity and social media.

Research Scientist, Computer Vision for Generative AI Responsibilities:

  • Lead, collaborate, and execute on research that pushes forward the state of the art in media generation research.
  • Work with researchers to develop input architectures that combine vision and language.
  • Design and prototype interactive experiences and evaluate them through user research.
  • Design and prototype data collection systems to accelerate machine learning.
  • Collaborate and work across teams to develop concepts that advance the entire product pipeline (hardware, software, data collection, machine learning, etc.).
  • Prioritize research that can be applied to Meta's product development.
Minimum Qualifications:

Want more jobs like this?

Get jobs in Menlo Park, CA delivered to your inbox every week.

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

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • PhD in the field of Computer Science, Artificial Intelligence, or a related field.
  • 3+ year experience in AI
  • Publications in areas of machine learning and computer vision
  • Experience in developing interactive solutions for computer vision, NLP, or computer graphics.
  • Experience working with PyTorch or TensorFlow.
  • Experience with sequence modeling, domain adaptation or representation disentanglement.
  • Experience designing data collection protocols and quality control.
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications:
  • Experience transferring technology from research in computer vision, machine perception or machine learning into a shipping product.
  • 3+ year(s) of work experience in a university, industry, or government lab, in a role with primary emphasis on AI research.
  • First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
  • 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.

$147,000/year to $208,000/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): Menlo Park, CA, USA
Job ID: a1KDp00000E2PUSMA3
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
  • Diversity and Inclusion

    • Employee Resource Groups (ERG)

Company Videos

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