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Visiting Researcher, GenAI (PhD)

AT Meta
Meta

Visiting Researcher, GenAI (PhD)

Menlo Park, CA

Meta is seeking a Visiting Researcher through a short-term contract to join Meta AI.The Visiting Researcher role delivers cutting-edge artificial intelligence and machine learning innovations that improve product experiences, and power business growth across Meta. This role supports Meta's business by developing and applying novel AI techniques to enhance the company's Meta AI products and services.In this role, the AI Research Scientist conducts primary research in AI and machine learning, collaborates with cross-functional teams to integrate AI innovations into products, and delivers insights that inform product strategy, design, and development decisions. By advancing the state-of-the-art in AI and applying these advancements to real-world problems, this role helps drive high-quality user experiences, improves customer engagement, and contributes to the growth and success of Meta's products and businesses.This position is short-term employment for PhD students who will work in collaboration with Meta and their University.

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Visiting Researcher, GenAI (PhD) Responsibilities:
  • Perform research tackling unsolved real-world problems and push SOTA Retrieval Augmented Generation
  • Design and implement algorithms, train SOTA models and evaluate their performance
  • Drive research that can be applied to Meta AI
Minimum Qualifications:
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • Research experience in one or more of these areas: NLP, speech, machine learning, deep learning, or related fields
  • Currently enrolled in a PhD program in a technical field such as Computer Science or Computer Engineering
  • Research experience in development and implementation of LLM algorithm/systems and model training
  • Knowledge of deep learning and neural networks
  • Experience working with machine learning libraries like Pytorch
  • Familiar with scripting languages such as Python and shell scripts
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications:
  • Direct experience in generative AI and LLM research, and taking the solutions to production
  • First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)
  • Experience solving complex problems and comparing alternative solutions, tradeoffs, and varied points of view to determine a path forward
  • Experience working and communicating cross functionally in a team environment
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.

$56.25/hour to $137,000/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: a1KDp00000E2aqqMAB
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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