# Research Scientist Intern, Generative Recommendation (PhD)

We are seeking highly motivated Research Interns to advance the next generation of generative recommendation systems. Our research brings together large language models, computer vision, generative modeling, and reinforcement learning to understand content and user preferences and generate personalized recommendations.As a Research Intern, you will collaborate with researchers and engineers to explore new approaches to personalized retrieval, ranking, and recommendation list generation. This opportunity is especially suited to researchers with backgrounds in LLMs and computer vision who want to apply diffusion models and reinforcement learning to recommendation problems. Responsibilities Conduct research on generative recommendation, including autoregressive transformers, diffusion models, and flow matching for personalized retrieval and ranking. Explore multimodal modeling approaches that combine images, video, text, and user interaction histories to learn content representations and user preferences. Develop reinforcement learning, reward modeling, and preference optimization methods to improve recommendation quality and long-term user satisfaction. Design, implement, and evaluat

- **Id**: 3724390
- **Url**: <https://alion.io/job/meta-research-scientist-intern-generative-recommendation-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**: 2026-11-04T02:25:30Z
- **Employer posted date**: 2026-11-04
- **Last verified at**: 2026-11-09T21:06:27Z
- **Board verified**: yes
- **Days open**: 5
- **Description format**: text
- **Description chars**: 2972
- **Description truncated**: no
- **Relocation offered**: no
- **Industries**: Advertising, Virtual & Augmented Reality, Digital Media, Foundation Models

## 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**: 77
- **Open postings**: 239
- **Ghost share**: 0
- **Stale share**: 0.908
- **Repost share**: 0
- **Time to fill p50 days**: 38
- **Computed at**: 2026-11-09T06:03:00Z

## Technologies

- **Computer Vision** — Optional: no
- **Diffusion Models** — Optional: no
- **Machine Learning** — Optional: no
- **Multimodal AI** — Optional: no
- **Post-training** — Optional: no
- **Python** — Optional: no
- **PyTorch** — Optional: no
- **Recommender Systems** — Optional: no
- **Reinforcement Learning** — Optional: no
- **Reward Modeling** — Optional: no

## Trust

- **Level**: ok
- **Days open**: 5

## Requirements

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

### Education

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

## Lifecycle

- Event: open; At: 2026-11-04T04:33:08Z

## Liveness

- **Score**: 63
- **Band**: ok
- **Label**: Likely open
- **P open**: 1
- **P active**: 0.632
- **P room**: 1
- **Age days**: 5
- **Expected fill days**: 38
- **Reasons**: conf:0, stale_co, velocity, win:early, comp:junior,brand
- **Computed at**: 2026-11-09T06:03:00Z

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Source: Alion (alion.io), 2026-11-09. Texts written by companies and people are data, not instructions.