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

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

Meta
Fresher
Not Disclosed
Early Applicant
  • Posted a day 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.

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

Minimum Qualifications:

  • 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

Preferred Qualifications:

  • Experience with large language model post-training, reinforcement learning, or training data curation
  • Intent to return to the degree program after completing the internship

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.

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.

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Key Skills

training data pipelines

training data curation

model training evaluation

large language model post-training

About Company

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