AIML - Machine Learning Manager, Red Teaming - Responsible AI and Safety

What you'll do

• Build and lead red-teaming engineers and set an independent agenda for active vulnerability discovery.
• Own coverage across pre-ship qualification, post-ship monitoring, and foundation model red-teaming; coordinate escalation and external partnerships.
• Define and report program success criteria, provide technical direction on automated red-teaming, and communicate impact to leadership.

What they ask for

• MS or PhD in Computer Science, Machine Learning, Statistics, or a related field, or an equivalent qualification acquired through other avenues.
• Experience with generative models for evaluation and/or product development, and current knowledge of common challenges and failures.
• Strong engineering skills and experience writing production-quality code in Python.
• Deep experience in foundation model-based AI programming and experience with noisy, crowd-based data labels and human evaluations.

Nice to have

• Publication record in relevant conferences such as NeurIPS, ICML, ICLR, or EMNLP.
• Experience in Responsible AI or AI Safety; organizational and operational skills with large, multifunctional teams; or interest in fairness and bias.

Tools

Python, DSPy

AI focus

AI safety and security red-teaming: actively discovering vulnerabilities in generative AI systems, including automated red-teaming and coverage of Apple Intelligence features and foundation models.