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Research Scientist Intern, VLM and Omni Model Post-Training (PhD)

Meta· Research
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Sunnyvale, CA$7.7k/mo - $12.7k/moInternPosted 1w ago

About the role

Internship within Meta Reality Labs Research, Surreal Vision group, focusing on posttraining of vision-language and omni models using reinforcement learning to improve multimodal reasoning, temporal understanding, and grounded decision-making for future contextual AI devices.

Responsibilities

  • Plan and execute innovative research to advance the state of the art in multimodal posttraining and reinforcement learning.
  • Collaborate with researchers to develop training pipelines, reward functions, experiments, and prototype systems.
  • Benchmark RL methods against supervised fine-tuning and preference-optimization baselines, and analyze model behavior and generalization.
  • Publish research findings at leading conferences and present research outcomes to internal and external audiences.

Qualifications

  • Currently has, or is in the process of obtaining, a PhD in machine learning, computer vision, natural language processing, speech and audio processing, reinforcement learning, or a related field
  • Proven research contributions demonstrated by grants, fellowships, patents, or publications at leading workshops or conferences such as NeurIPS, ICML, CVPR, ICLR, ICCV, ECCV, ACL, EMNLP, NAACL, ICASSP, and Interspeech
  • Knowledge of deep learning and multimodal foundation models, with hands-on experience in VLM or omni model posttraining, particularly reinforcement learning
  • Experience implementing deep learning algorithms, training models, and designing benchmarks and evaluations
  • Programming experience in Python and deep learning frameworks such as PyTorch
  • Experience working and communicating across functions in a team environment
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Skills

Required:PhD in relevant fieldDeep learning and multimodal foundation modelsPythonPyTorch
Nice to have:Research dissemination

Benefits

  • In addition to base compensation, Meta offers benefits
Last updated Oct 23, 2026. Interested? Apply on the company site.

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