Research Scientist Intern: AI Recommenders & LLM Agents

Meta; Singapore; On-site; SGD 20,000 - 31,000; Full time

Job summary

Meta is offering Research Scientist Intern roles on the Agent for Recommendation team. Interns will work on RSI-focused research problems at the intersection of LLM agents, machine learning, and recommender systems.

You will collaborate with researchers and engineers to analyze data, develop models, debug issues, run experiments, and help decide what to launch. Internships span 12–16 or 24 weeks with multiple start dates.

Qualifications

• Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related field
• Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
• Experience with Python and deep learning frameworks such as PyTorch
• Experience conducting research in machine learning, recommender systems, large language models or agents, or reinforcement learning
• Experience designing experiments, analyzing results, and communicating technical findings
• Intent to return to the degree program after the completion of the internship/co-op
• Proven track record of research achievements as demonstrated by publications at leading venues such as NeurIPS, ICML, ICLR, KDD, RecSys, WWW, SIGIR, ACL, or EMNLP
• Research or project experience in LLM agents and tool use, reasoning and planning, automated machine learning, AI for research, reinforcement learning, or Bayesian optimization
• Expertise in recommender systems, ranking, relevance, or personalization, such as generative recommendation, sequential modeling, retrieval, or learning to rank
• Demonstrated ability to integrate AI tools to redesign workflows and drive measurable impact, and to stay current with emerging AI technologies (e.g., context engineering, agent orchestration)
• Experience working and communicating cross-functionally in a fast-paced team environment

Responsibilities

• Own one focused research problem at the intersection of LLM agents, machine learning, and recommender systems
• Build and evaluate solutions on production-scale systems
• Collaborate with researchers and engineers to analyze data, develop models, debug issues, run experiments, and decide what to launch
• Contribute to publications and presentations of research findings

Skills

Python

ML Research

Experiment Design

Publications

Degree Return

LLM Agents

Recommender Systems

AI Tooling

Cross-Functional

Team Collaboration

Education

PhD in CS/ML/AI/Statistics

Tools

PyTorch

Job description

Meta is offering Research Scientist Intern roles on the Agent for Recommendation team. Interns will work on RSI-focused research problems at the intersection of LLM agents, machine learning, and recommender systems.

You will collaborate with researchers and engineers to analyze data, develop models, debug issues, run experiments, and help decide what to launch. Internships span 12–16 or 24 weeks with multiple start dates.