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Meta

AI Research Scientist - Responsible AI

London, United Kingdom

Meta is seeking Research Scientists to join its Fundamental AI Research (FAIR) organization, focused on making significant advances in Responsible AI. We publish groundbreaking papers and release frameworks/libraries that are widely used in the open-source community. Recent examples include the LLaMa family of Large Language Models (LLMs) and tool-augmented language models. We also collaborate with the Meta Generative AI and other organisations to bring the latest research findings to production. We seek experts in responsible AI to join our research team to foster cutting-edge research in social implications of AI.

AI Research Scientist - Responsible AI Responsibilities:

  • Publishing state-of-the-art research papers in responsible AI with particular focus on social impact of AI technologies.
  • Conducting independent research that investigates how sociotechnical systems impact various social groups in different ways.
  • Open sourcing high quality code and reproducible results for the community.
Minimum Qualifications:

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  • Currently has, or is in the process of obtaining, a PhD in mathematics, statistics, physics, computer science. Candidates with strong backgrounds in statistics and machine learning who are otherwise coming from another discipline are strongly encouraged to apply.
  • Deep interest in cross-disciplinary communication towards conducting research in socio-technical systems and responsible AI.
Preferred Qualifications:
  • Proven track record of achieving significant results as demonstrated by grants, or fellowships, as well as publications in FAccT, AIES, *ACL.
  • Contributions to affinity workshops at machine learning conferences (e.g. NeurIPS, ICML) welcome.
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.

Client-provided location(s): London, UK
Job ID: a1K2K000007p4mUUAQ_1001
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

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)
    • Founder led

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