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Visiting Researcher, Fundamental AI Research - CoreML

AT Meta
Meta

Visiting Researcher, Fundamental AI Research - CoreML

Menlo Park, CA

Meta is seeking a Visiting Researcher through a short-term contract to join the Fundamental AI Research (FAIR) team, a research organization focused on advancing the state-of-the-art 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 topics such as deep learning, computer perception, optimization, reinforcement learning, representation learning, privacy in machine learning, security of AI systems, foundations of generative modeling, compression and information theory, and social implications of AI. The ideal candidate will have a keen interest in producing new science to understand intelligence and technology towards achieving advanced machine intelligence.

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Visiting Researcher, Fundamental AI Research - CoreML Responsibilities:
  • Perform research to advance the science and technology of intelligent machines.
  • Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities).
  • Work towards long-term ambitious research goals, while identifying immediate milestones.
  • Initiate research projects within a team environment and collaborate with cross-functional partners.
  • Influence progress of relevant research communities by producing high-quality publications.
  • Open source high-quality code and produce reproducible research.
Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • A PhD degree in AI, computer science, data science, or related technical fields.
  • Experience holding an industry, postdoctoral, faculty, or government researcher position.
  • Research background in machine learning, artificial intelligence, computational statistics, or applied mathematics, or related areas.
  • Proven track record of recent and consistent publications reflecting expertise in theoretical and/or empirical research.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications:
  • Research and engineering experience demonstrated via publications, grants, fellowships, patents, work experience, open source code, and / or coding competitions.
  • First-authored publications at peer-reviewed conferences, such as ICML, NeuRIPS, ICLR, FacCT, CCS, IEEE S&P, and other similar venues.
  • Experience in solving complex problems, proposing novel solutions, and comparing alternative approaches, trade-offs, and diverse points of view.
  • Experience in leading, planning and coordinating long-term research projects in a team environment.
  • Experience communicating research findings to public audiences of peers.
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.

$177,000/year to $251,000/year + benefits

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): Menlo Park, CA, USA
Job ID: a1KDp00000E2K95MAF_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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