PhD Research Scientist Intern: AI Safety & Red Teaming

Meta; Menlo Park, New York (CA, NY); On-site; USD 55,000 - 69,000; Full time

Job summary

Meta is seeking Research Interns to join Safety Evals and Red Teaming within Products and Applied Research. You will work on agent safety, benchmarks, synthetic data, automated red teaming, and LLM-based judging.

Internships are 16 weeks with multiple start dates. You’ll design experiments, analyze data, and communicate results to both technical and non-technical audiences, using Python, C++, and ML tools.

Qualifications

• PhD in Computer Science, AI, or related field, or currently pursuing with expected completion.
• Experience in safety, red-teaming, evals, ML or NLP research.
• Proficiency in Python, C++, Java or similar languages; strong experimental design skills.

Responsibilities

• Design and run ML safety experiments and red-teaming evaluations.
• Analyze results, synthesize findings, and communicate insights to stakeholders.

Skills

Python

C++

ML/DL

Research

Technical writing

Education

PhD in CS/AI/related field

Tools

ML frameworks

Git

Job description

Meta is seeking Research Interns to join Safety Evals and Red Teaming within Products and Applied Research. You will work on agent safety, benchmarks, synthetic data, automated red teaming, and LLM-based judging.

Internships are 16 weeks with multiple start dates. You’ll design experiments, analyze data, and communicate results to both technical and non-technical audiences, using Python, C++, and ML tools.