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Meta is hiring a Research Scientist Intern, AI Core Machine Learning (PhD)

Meta AI, a world-class research lab, is seeking Research Interns to join our research teams to work on challenging problems that would require strong research and engineering skills to achieve a deep understanding of the problems, develop innovative approaches, and scale up with massive data and compute.

Our efforts are to push the bar in the following research directions: Computer Vision, Natural Language Processing, Speech, Reinforcement Learning & Reasoning, Core Machine Learning and Creativity.

Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year. To learn more about our research, visit Scientist Intern, AI Core Machine Learning (PhD) Responsibilities

  • Brainstorm with research mentors, review literature and existing solutions of a challenging real-world research problem
  • Develop novel solutions, implement prototypes and perform extensive experiments to test the proposed solutions in meaningful benchmarks and metrics, analyze the results and verify the conclusions
  • Communicate and discuss with team members about various aspects of the project. This includes answering questions, addressing concerns, improving solutions, etc.
  • Present research outcomes to internal and (possibly) external audiences
  • Draft and polish research publications

Minimum Qualifications

  • Currently has, or is in the process of obtaining a PhD degree in the field of Machine Learning, Artificial Intelligence, Reinforcement Learning, Optimization or similar
  • Experience in Python, C++ or other related languages.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications

  • Experience with ML areas such as Computer Vision, Natural Language Processing, Speech, Reinforcement Learning & Reasoning
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, MLSys, or HPCA
  • Extensive experience solving analytical problems using quantitative approaches
  • Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
  • Experience communicating complex research in a clear, precise, and actionable manner
  • Experience building large-scale machine learning systems and training with large datasets
  • Demonstrated software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Intent to return to degree-program after the completion of the internship/co-op

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 committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to

$7,650/month to $10,250/month + benefits

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Location pin icon Pittsburgh, PA | Menlo Park, CA | Seattle, WA | New York, NY | San Francisco, CA

Meta - AI/ML Jobs


Compensation: $90,000 - $120,000

Location: Location pin icon Pittsburgh, PA | Menlo Park, CA | Seattle, WA | New York, NY | San Francisco, CA

Apply Now

Mention when you apply so they know you're a genuine candidate.