Responsible AI Lead for ML & Safety (Red-Teaming)

Apple, Inc.; San Francisco (CA); In loco; USD 206.000 - 356.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical coverage

Dental coverage

Employee stock programs

Relocation assistance

Descrizione del lavoro

Apple, Inc. in San Francisco seeks a visionary AIML Manager for Responsible AI and Safety. You will lead a red‑teaming program to proactively identify vulnerabilities in generative AI systems while partnering with cross‑functional teams.

You will mentor engineers, set safety policies, oversee data design and mitigation architectures, and stay hands-on with evaluation results to continuously improve model reliability and user trust.

Competenze

• 5+ years of experience in machine learning, including work with generative models, NLP, or computer vision
• 2+ years directly managing engineering teams
• Proven track record of leading technical teams through ambiguity to deliver high‑quality results
• Excellent communication skills and ability to translate complex insights for cross‑functional partners and executives
• Experience with language, vision, or multimodal datasets and with failure analysis or robustness testing

Mansioni

• Lead a red-teaming program to probe AI features for safety and security risks
• Set robust safety policies aligned with product goals across leadership, design, engineering, legal, and regulatory teams
• Oversee data design and safety alignment strategies and implement end-to-end mitigation architectures in production
• Remain hands-on pre and post-launch, analyzing evaluation results and driving improvements
• Foster an inclusive culture of technical excellence and remove roadblocks to team success

Conoscenze

Team leadership

Cross‑functional collaboration

Effective communication

Analytical problem-solving

Adversarial mindset

Strumenti

Python

Pandas

Descrizione del lavoro

Apple, Inc. in San Francisco seeks a visionary AIML Manager for Responsible AI and Safety. You will lead a red‑teaming program to proactively identify vulnerabilities in generative AI systems while partnering with cross‑functional teams.

You will mentor engineers, set safety policies, oversee data design and mitigation architectures, and stay hands-on with evaluation results to continuously improve model reliability and user trust.