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Postdoctoral Researcher - Computer Vision and Generative AI (PhD)

AT Meta
Meta

Postdoctoral Researcher - Computer Vision and Generative AI (PhD)

London, United Kingdom

Meta is seeking a Postdoctoral Researcher to join the Monetization Generative AI (MGenAI) team in London. MGenAI London is focused on making significant progress in AI-powered content generation for ads applications. In the past 3-4 years, generative AI has seen some of the most significant breakthroughs ever achieved, particularly in large language models and generative image models. Meta Monetization GenAI's mission is to lead the charge in applied generative AI technology and build products that will help businesses become more productive and efficient. The London team is particularly focused on image and video ad creative generation. The ideal candidate will have a keen interest in developing cutting-edge GenAI technologies that can make a product impact. Term length would be considered on a case-by-case basis.

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Postdoctoral Researcher - Computer Vision and Generative AI (PhD) Responsibilities:
  • Collaborate on research that enables AI-based image and video generation and editing
  • Contribute research that can be applied to Meta product development
  • Influence progress of relevant research communities by producing publications
  • Collaborate and increase productivity on existing Monetization GenAI projects as a contributing team member
Minimum Qualifications:
  • Currently has or is in the process of obtaining a PhD degree in Computer Vision or Machine Learning
  • Track record of publications that demonstrate experience in a quantitative domain
  • Experience collaborating within a team to solve analytical problems using quantitative approaches
  • Ability to manipulate and analyze high-volume, high-dimensionality data from varying sources
  • Knowledge in a programming language (particularly Python)
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications:
  • First-author publications at peer-reviewed AI conferences (e.g. CVPR, ICCV, ECCV, NeurIPS, ICML and ICLR)
  • Experience conducting original research that can be applied to Monetization GenAI products
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.

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): London, UK
Job ID: a1KDp00000E2aW2MAJ
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

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