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 legal 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

• Minimum of 3 years of experience in machine learning, including generative models (Transformers, LLMs, VLMs), NLP, or Computer Vision.
• At least 4 years of research or product deployment record in responsible AI with publications in top ML venues.
• Strong knowledge of machine learning principles and development methodologies for LLMs, foundation models, and diffusion models.
• Experience using generative models for evaluation and product development while understanding common challenges and failures.
• Bachelor’s, Master’s, or PhD degree in Computer Science, Machine Learning, or a related field.
• Experience working specifically within the Responsible AI space.
• Proven success contributing in highly cross-functional environments.
• Experience shipping complex AI systems at a global scale.