About this role
Research Scientist Intern, Muse Post-Training & Flywheel (PhD)
Singapore
Research
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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
- 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
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.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
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