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About the Role
Meta is seeking Research Interns to join our Safety Evals and Red Teaming team. This role involves evaluating the safety of AI systems, focusing on areas like Agent Safety, Benchmarks and Evaluations, Synthetic Data Generation, Automated Red teaming, LLM-as-a-Judge, benchmark design, eval harnesses, prompt injection, and agent environments. Internships are 16 weeks long with various start dates.
Responsibilities
- Formulate a focused research question about content safety, agent security, or the reliability of safety evaluations.
- Design controlled experiments, evaluation datasets, or agent environments that test the question and account for relevant limitations.
- Implement and run experiments, including evaluation harnesses, automated attacks, synthetic data generation, or LLM-based judging methods.
- Collaborate with researchers and cross-functional partners to connect research findings with safety-policy requirements and product development.
- Communicate research plans, progress, and results through clear documentation and presentations, and contribute to research publications applicable to Meta's products.
Requirements
- Currently have or are in the process of obtaining a Ph.D. degree in Computer Science, Computer Vision, Audio Processing, Artificial Intelligence, Generative AI, or relevant technical field.
- Research experience in safety, red-teaming, evals, machine learning, deep learning, computer vision, and/or natural language processing.
- Experience with Python, C++, C, Java or other related languages.
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
Skills
- Agent Safety
- Benchmarks and Evaluations
- Synthetic Data Generation
- Automated Red teaming
- LLM-as-a-Judge
- benchmark design
- eval harnesses
- prompt injection
- agent environments
- model evaluation
- LLM safety or alignment
- agent security
- prompt injection
- automated red teaming
- synthetic data generation
- LLM-based judging
- evaluation science
- ML experiment design
- complex dataset analysis
- quantitative approaches
- Python
- C++
- C
- Java
Experience Level
- Ph.D. student
Education Level
- Ph.D.
Salary/Compensations
- $7,650/month to $12,667/month
About the Company
- Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another.
- In the pursuit of personal superintelligence, Meta's AI systems are becoming more capable, and evaluating their safety is critical.