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

Research Engineer - FAIR London

AT Meta
Meta

Research Engineer - FAIR London

London, United Kingdom

Meta is seeking Research Engineers to join Fundamental AI Research (FAIR). We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in solving systems challenges to sustainably accelerate our reach to human-level intelligence. Candidates will have an opportunity to make fundamental advances in systems and apply their ideas at an unprecedented scale. This specific role within FAIR will focus on researching LLM Agents.

Research Engineer - FAIR London Responsibilities:

  • Build LLM agents for diverse research tasks
  • Work towards long-term research goals, while identifying immediate milestones.
  • Influence progress of relevant research communities by producing publications.
  • Open source high quality code and produce reproducible research.
  • Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
Minimum Qualifications:

Want more jobs like this?

Get jobs in London, United Kingdom delivered to your inbox every week.

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

  • M.Sc in AI / related fields or equivalent industry experience
  • Experience with agents or Large Language Model pipelines
  • Research background in machine learning, artificial intelligence, computational statistics, applied mathematics, or related areas.
  • Experience with Python, C++, C, Rust or other related languages and with PyTorch framework.
  • Experience with training machine learning systems, Large Language Models optimization with specific focus on code / math data.
  • xperience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward.
  • Experience working and communicating cross functionally in a team environment.
Preferred Qualifications:
  • Ph.D in AI or related fields
  • Proven track record of achieving significant results and publications as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as NeurIPS, ICML, ICLR, ACL, COLM, Interspeech, or similar.
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: a1KDp00000E2T1yMAF
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.