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Meta

AI Research Scientist - CoreML (Technical Leadership)

San Francisco, CA

Meta is seeking a Research Scientist to join our AI organization. Individuals in this role are expected to be recognized experts in areas such as artificial intelligence, machine learning, and computational statistics, particularly including areas such as: sequential decision making, graph learning, reinforcement learning, deep learning, data representation and theory & optimization. The ideal candidate will have an interest in producing new science to understand intelligence and technology to make computers smarter, and an equal interest in taking new research findings in this area and implementing it towards product needs.

AI Research Scientist - CoreML (Technical Leadership) Responsibilities:

  • Help advance the science and technology of intelligent machines
  • Contribute to research that enables learning the semantics of data (images, video, text, audio and other modalities)
  • Work on research projects, strategies, and problems of moderate to high complexity and scope. Can identify and define both short & medium term objectives
  • Influence progress of relevant research communities by producing publications
  • Establish strong connection with cross-functional partners and contribute research with the goal of applying to Meta's product development
  • Lead and collaborate on research projects within a team
  • Design policies, processes, procedures, methods, tests, and/or components, from the ground up for end-to-end systems
Minimum Qualifications:

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  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • 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
  • Proven track record of recent and consistent publication/citation history
  • Experience leading a team in solving modeling problems using AI/ML approaches
  • Experience in applying research to production problems
  • Experience communicating research for public audiences of peers
  • Experience in developing and debugging in Python, C/C++, or C#
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications:
  • 4+ years of work experience post PhD in a university, industry, or government lab(s), in a role with primary emphasis on AI research.
  • 4+ years of experience as technical lead for a project of 4 or more individuals.
  • First-author publications at peer-reviewed AI conferences (e.g., NeurIPS, ICML, ICLR, AAAI).
  • Experience with interdisciplinary and/or cross-cultural collaboration.
  • Experience bringing machine learning-based products from research to production.
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.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Client-provided location(s): San Francisco, CA, USA
Job ID: a1K2K00000905aUUAQ_1003
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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