About the role#
Meta is seeking Research Interns for the Safety Evals and Red Teaming team. This role focuses on the safety of AI systems, including agent security, benchmarks, and evaluation methods. You will spend 16 weeks working on research projects that help improve the reliability of our AI models.
What you'll do#
- Formulate research questions regarding content safety, agent security, or evaluation reliability.
- Design controlled experiments, datasets, or agent environments to test your research questions.
- Build and run experiments, such as evaluation harnesses, automated attacks, or synthetic data generation.
- Work with researchers and cross-functional partners to align findings with product development and safety policies.
- Document your progress, present results, and contribute to research publications.
What you'll need#
- Current enrollment in a Ph.D. program in Computer Science, AI, Computer Vision, Audio Processing, Generative AI, or a related field.
- Research experience in machine learning, deep learning, safety, red-teaming, or natural language processing.
- Proficiency in Python, C++, C, or Java.
- Experience designing ML experiments and analyzing complex datasets.
- A history of first-author publications at major conferences or workshops.
- Demonstrated software engineering skills through internships, open-source projects, or coding competitions.
- Ability to explain technical results to non-technical audiences.
- Intent to return to your degree program after the internship.
- Must obtain and maintain work authorization in the country of employment.
Location & details#
- Locations: Menlo Park, CA or New York, NY.
- Work modality: On-site.
- Duration: 16 weeks with rolling start dates.
- Employment type: Full-time internship.
- Compensation: $7,650 to $12,667 per month.
About Meta
Meta develops software and social media applications. It operates platforms such as Facebook, Messenger, Instagram, and WhatsApp. The company maintains headquarters in Menlo Park, California. Current work focuses on augmented and virtual reality alongside artificial intelligence and machine learning.
How to get in at Meta
Landing an internship at Meta requires a proactive approach to the application process. Intern Insider sends an instant alert the moment a role matching your target is published, allowing you to apply among the first. Early applicants often have their materials reviewed before the applicant pool grows significantly. You can use Intern Insider to surface the recruiters behind specific roles at Meta. Reaching out directly to these individuals to ask about the position or a referral often improves your response rates compared to applying into a queue.
