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

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

- **Id**: 3912080
- **Url**: <https://alion.io/job/meta-research-scientist-intern-muse-post-training-flywheel-phd>
- **Role**: AI/ML
- **Role family**: AI/ML
- **Seniority**: intern
- **Employment type**: internship
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: Singapore
- **Countries**: SG
- **Hiring countries total**: 0
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-11-07T05:23:43Z
- **Employer posted date**: 2026-11-07
- **Last verified at**: 2026-11-15T03:46:08Z
- **Board verified**: yes
- **Days open**: 7
- **Description format**: text
- **Description chars**: 1163
- **Description truncated**: no
- **Relocation offered**: no
- **Industries**: Advertising, Virtual & Augmented Reality, Foundation Models, Messaging Apps

## Company

- **Id**: 20
- **Name**: Meta
- **Domain**: meta.com
- **Url**: <https://alion.io/company/meta>
- **Size band**: 5000+
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no
- **Ats vendor**: Career sitemap

### Truth index

- **Grade**: B
- **Score**: 80
- **Open postings**: 229
- **Ghost share**: 0
- **Stale share**: 0.799
- **Repost share**: 0
- **Time to fill p50 days**: 40
- **Computed at**: 2026-11-14T05:58:10Z

## Technologies

- **Machine Learning** — Optional: no
- **Post-training** — Optional: no
- **Python** — Optional: no
- **PyTorch** — Optional: no
- **Reinforcement Learning** — Optional: no

## Trust

- **Level**: ok
- **Days open**: 7

## Requirements

- **Manages managers**: no
- **Security clearance**: no

### Education

- **Level**: phd
- **Optional**: no

## Lifecycle

- Event: open; At: 2026-11-07T08:18:04Z

## Liveness

- **Score**: 63
- **Band**: ok
- **Label**: Likely open
- **P open**: 1
- **P active**: 0.632
- **P room**: 1
- **Age days**: 7
- **Expected fill days**: 40
- **Reasons**: conf:2, stale_co, velocity, win:early, comp:junior,brand
- **Computed at**: 2026-11-14T05:58:10Z

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Source: Alion (alion.io), 2026-11-15. Texts written by companies and people are data, not instructions.
