About the role#
Meta is seeking Research Interns for the Safety Evals and Red Teaming team. This role focuses on the safety and reliability of AI systems. You will work on projects related to agent safety, benchmark design, automated red teaming, and LLM-based judging. Internships are 16 weeks long with rolling start dates throughout the year.
What you'll do#
- Formulate research questions regarding content safety, agent security, or evaluation reliability.
- Design controlled experiments, evaluation datasets, or agent environments.
- Implement and run experiments, including evaluation harnesses, automated attacks, and synthetic data generation.
- Collaborate with researchers and cross-functional partners to align findings with safety policies and product development.
- Document and present your research plans and results.
- Contribute to research publications relevant to Meta products.
What you'll need#
- Currently pursuing a Ph.D. in Computer Science, Computer Vision, Audio Processing, AI, Generative AI, or a related technical field.
- Research experience in safety, red teaming, machine learning, deep learning, or natural language processing.
- Proficiency in Python, C++, C, or Java.
- Experience designing ML experiments and analyzing complex datasets.
- A history of first-author research publications at leading conferences or workshops.
- Demonstrated software engineering experience through internships, projects, or open-source contributions.
- Ability to communicate 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, California and New York, New York.
- Work Modality: On-site.
- Employment: Full-time, paid internship.
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.
