Machine Learning and Applied Research, Responsible AI and Safety

What you'll do

• Shape safety policies for global generative AI products in partnership with leadership and regulatory stakeholders.
• Develop and deliver technical solutions for machine learning research at the intersection of emerging technologies and real-world use cases.
• Perform thoughtful data sampling, creation, and curation for evaluation datasets.
• Create high-quality, detailed annotations to assess feature performance.
• Implement auto-grading systems to evaluate model behavior and safety.
• Analyze evaluation results to determine their impact on the overall user experience.
• Address challenges related to fairness and bias in generative AI systems.

What we're looking for

• BS, MS, or PhD in Computer Science, Machine Learning, or a related field.
• 3+ years of experience in machine learning including work with generative models (Transformers, LLMs, VLMs), NLP, or Computer Vision.
• 4+ years of research or product deployment record in areas related to responsible AI.
• Publications in top ML venues such as ACL, CHI, CVPR, EMNLP, FAccT, ICML, Interspeech, NeurIPS, or UIST.
• Strong knowledge of machine learning principles and development methodologies for LLMs, foundation models, and diffusion models.
• Experience working with generative models for evaluation and product development while addressing common challenges and failures.
• Experience in the Responsible AI space and a focus on fairness and bias in generative AI systems.
• Proven success contributing in cross-functional environments and shipping complex AI systems at global scale.