• 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 Company’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 Company’s products and services
• Lead complex technical projects end-to-end

• 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
• Programming experience in Python and hands-on experience with frameworks such as PyTorch
• Company participates in the E-Verify program in certain locations, as required by law

• Publications at peer-reviewed conferences (e.g. ICLR, NeurIPS, ICML, KDD, CVPR, ICCV, ACL)

*Public Compensation:* $88.46/hour to $257,000/year + bonus + equity + benefits *Equal Opportunity:* *Public Compensation:* $88.46/hour to $257,000/year + bonus + equity + benefits