AIML - Machine Learning Manager, Red Teaming - Responsible AI and Safety
Apple
Full-time
other-general
Location
San Francisco, CA, United States
Posted
July 18, 2026
Job Description
**Role Number:** 200672923-3401
**Summary**
Apple's Responsible AI and Safety team focuses on innovative technologies, methodologies, and research to enable fantastic user experiences and to push the frontier of machine learning. Our team is looking to hire a leader with a strong track record in Applied Research, who is passionate about ML and foundation models with a focus on responsibility, fairness, and safety. In this role, you will lead the research and application of ML methods for technologies that power breakthrough user experiences while upholding Apple's values, privacy, and quality standards.
**Description**
This role focuses on leading a team working on developing, carrying-out, interpreting, and communicating pre- and post-ship evaluations of the safety of Apple Intelligence features. This team is also responsible for producing safety evaluations that uphold Apple’s Responsible AI values requires thoughtful data sampling, creation, and curation for...
**Summary**
Apple's Responsible AI and Safety team focuses on innovative technologies, methodologies, and research to enable fantastic user experiences and to push the frontier of machine learning. Our team is looking to hire a leader with a strong track record in Applied Research, who is passionate about ML and foundation models with a focus on responsibility, fairness, and safety. In this role, you will lead the research and application of ML methods for technologies that power breakthrough user experiences while upholding Apple's values, privacy, and quality standards.
**Description**
This role focuses on leading a team working on developing, carrying-out, interpreting, and communicating pre- and post-ship evaluations of the safety of Apple Intelligence features. This team is also responsible for producing safety evaluations that uphold Apple’s Responsible AI values requires thoughtful data sampling, creation, and curation for...