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Research Scientist Intern

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Meta

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Location:
United States , Bellevue

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

7650.00 - 12134.00 USD / Month
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Job Description:

Meta is seeking Research Interns to join our Meta Recommendation Systems (MRS) Research. This newly created org brings together a world-class team of AI Research Scientists and Engineers. The MRS Research org is exploring and advancing SoTA technology, centering around AI and ML, to arrive at a unified infrastructure and model service to leapfrog recommendation systems (Recsys), its theory and algorithms across Meta (Facebook, Instagram and WhatsApp, the “Family of Apps” (FoA)). Our interns will have the opportunity to perform cutting-edge research on AI for Recsys with the potential to have an impact at Meta’s scale.

Job Responsibility:

  • Initiate and lead efforts towards long-term ambitious research goals, while identifying intermediate milestones in the area of recommendation systems and models, user and content understanding and multi-modal (video, audio, and text) LLM analysis for classification and relevance use cases
  • Conduct original research that can eventually be applied to Meta product development, engage with the wider research community, including publishing and releasing open source software where appropriate
  • Design, train and support AI/ML libraries and models to implement new features and functionality for use internally at Meta
  • Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.

Requirements:

  • Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Computer Vision, Artificial Intelligence, or relevant technical field
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
  • Experience with Python, with experience in machine learning libraries such as Pytorch
  • Familiarity with AI/ML modeling and algorithmic techniques (e.g., various components of multimodal LLM, RAG, LSTM, GRU, Transformers, RL and/or its acceleration for large scale use cases)
  • Experience building systems based on machine learning and/or deep learning methods

Nice to have:

  • Intent to return to the degree program after the completion of the internship
  • 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, ICLR, KDD, ICML, SIGIR, WSDM, RecSys, CIKM, CVPR, ECCV/ICCV/WACV, ACL, EMNLP, ICASSP, CoLM, or similar venues
  • Experience working and communicating cross functionally in a team environment
  • Prior research or project experience in sequence modeling, recommendation systems, or user modeling, RL, etc
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

Additional Information:

Job Posted:
January 23, 2026

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