Meta is looking for Research Engineers to join the Safety System and Foundations team within Meta Superintelligence Labs. The role focuses on developing and implementing safety techniques for AI systems, ensuring secure and responsible use of AI technologies.

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• PhD in Computer Science, Machine Learning, or a relevant technical field
• 3+ years of industry research experience in LLM/NLP, computer vision, or related AI/ML model training
• Experience as a technical lead on a team and/or leading complex technical projects from end-to-end
• Publications at peer-reviewed conferences (e.g. ICLR, NeurIPS, ICML, KDD, CVPR, ICCV, ACL)
• Programming experience in Python and hands-on experience with frameworks such as PyTorch

• Design, implement, and evaluate novel, systemic, and foundational safety techniques for large language models and multimodal AI systems
• Create, curate, and analyze high-quality datasets for safety system and foundations
• Fine-tune and evaluate LLMs to adhere to Meta’s safety policies and evolving global standards
• Build scalable infrastructure and tools for safety evaluation, monitoring, and rapid mitigation of emerging risks
• Work closely with researchers, engineers, and cross-functional partners to integrate safety solutions into Meta’s products and services
• Lead complex technical projects end-to-end

• Employees at Meta are often offered comprehensive benefits, including medical/dental/vision coverage, mental-health resources, family planning support (fertility, adoption, surrogacy), and caregiving programs. Financial benefits typically include a competitive retirement plan, equity awards, life insurance, and access to financial coaching and legal support. Time-off benefits commonly feature generous PTO and holidays, unlimited sick time, various paid leaves, flexible “Global Travel Days,” and a 30-day paid break every five years.