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Meta

AI Research Scientist

Paris, France

Meta is seeking a Research Scientist to join our Fundamental AI Research (FAIR) Team, a research organization focused on making significant progress in AI. Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, reinforcement learning, computer vision, natural language processing and data representation. The ideal candidate will have a keen interest in producing new science to understand intelligence and technology to make computers more intelligent. To learn more about our research, visit https://ai.facebook.com/.

AI Research Scientist Responsibilities:

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  • Lead research to advance the science and technology of intelligent machines
  • Improve large language models for research and for deployment
  • Research relevant AI and machine learning techniques to build intelligent rich code generation products
  • Work towards long-term ambitious research goals, while identifying intermediate milestones
  • Influence progress of relevant research communities by producing publications
  • Lead and collaborate on research projects within a globally based team
Minimum Qualifications:
  • Experience holding a faculty, industry, or government researcher position
  • Ph.D. and publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields
  • Experience in theoretical and empirical research and for addressing research problems
  • Experience communicating research for public audiences of peers
  • Working knowledge in a programming language
  • Proven work experience in a university or industry lab(s), in a role with primary emphasis on AI research
Preferred Qualifications:
  • 1+ year(s) of work experience in a university, industry, or government lab(s), in a role with primary emphasis on AI research
  • Experience driving original scholarship in collaboration with a team
  • First-author publications at relevant peer-reviewed AI conferences (e.g. NeurIPS, ICML, ICLR, ACL, EMNLP)
  • Experience in developing and debugging in C/C++, Python, or C#, PyTorch
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): Paris, France
Job ID: a1K2K000007p7QCUAY
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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