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Research Engineer, FAIR - Brain & AI

AT Meta
Meta

Research Engineer, FAIR - Brain & AI

London, United Kingdom

Meta is seeking AI Software/Research Engineer to join our Brain and AI team at FAIR (Fundamental AI Research). The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web.

Research Engineer, FAIR - Brain & AI Responsibilities:

  • Optimize, profile, and improve deep learning models for scaling and research
  • Apply relevant AI and machine learning techniques to analyze and model neural signal
  • Develop code infrastructure for efficient scaling
  • Develop novel, accurate AI algorithms and advanced systems for large scale applications
  • Define use cases and develop methodology and benchmarks to evaluate different approaches
Minimum Qualifications:

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  • Ph.D. degree in Computer Science or related quantitative field
  • Industry experience in machine learning research and deployment
  • Programming: Python, PyTorch
Preferred Qualifications:
  • Experience with distributed systems or on-device algorithm development
  • Experience with participating in research projects until publication
  • High performance code and profiling experience
  • ML systems: AI infrastructure, machine learning accelerators, high performance computing, machine learning compilers, GPU architecture, machine learning frameworks, on-device optimization, model-parallel Transformer-based models
  • Demonstrable experience in Open Source Development
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: a1KDp00000E2WXkMAN_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

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