Meta

Research Scientist Intern, Muse Post-Training & Flywheel (PhD)

Meta  •  Singapore, SG (Onsite)  •  51 minutes ago
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Job Description

Meta is seeking PhD interns with strong machine learning and programming skills to improve Muse through applied product projects. Interns will work on the post-training flywheel, turning product feedback into measurable model improvements.

Responsibilities

Improve pipelines connecting product feedback, evaluation, training data, and Muse post-training.

  • Build evaluations and curate training data to address product failures, including hallucinations.
  • Run training experiments and work with researchers and engineers to improve model performance on real user tasks.

Qualifications

Currently pursuing a Ph.D. in Computer Science, Machine Learning, Natural Language Processing, or a related field

  • Programming experience in Python and deep learning frameworks such as PyTorch
  • Hands-on experience with model training, evaluation, or training data pipelines
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment Experience with large language model post-training, reinforcement learning, or training data curation
  • Intent to return to the degree program after completing the internship
Meta

About Meta

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Industry
IT & Software
Company Size
10,000+ employees
Headquarters
Menlo Park, CA
Year Founded
2004
Website
meta.com
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