AIML - Machine Learning Manager - Responsible AI and Safety

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

AIML - Machine Learning Manager - Responsible AI and Safety

San Francisco Bay Area, California, United States Machine Learning and AI

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 AI red-teaming and adversarial security research, who is passionate about proactively finding real vulnerabilities in generative AI systems before they reach users.In this role, you will lead a dedicated red-teaming team, building and running an independent program that actively probes Apple Intelligence features for safety and security risks, while upholding Apple's values, privacy, and quality standards.

Description

We are seeking a visionary Machine Learning Engineering Leader to build, mentor, and develop a high-performing team driving Responsible AI efforts for global generative AI products. In this highly cross-functional role, you will partner with leadership, design, engineering, legal, and regulatory teams to define robust safety policies that align with product goals. You will provide critical technical direction for dataset design and safety alignment strategies, while directly overseeing the implementation of end-to-end mitigation architectures in production. Pre and Post-launch, you will remain hands-on—analyzing evaluation results, conducting failure investigations, and leveraging human and automated feedback to continuously improve feature safety and build user trust. As a champion for your team, you will foster a inclusive culture of technical excellence, empower senior leadership with safety recommendations, and systematically remove roadblocks to ensure team success.

Minimum Qualifications

• 5+ years of experience in machine learning, including work with generative models (Transformers, LLMs, VLMs), NLP, or Computer Vision, with 2+ years directly managing engineering teams
• Proven track record of leading technical teams through ambiguity to deliver high‑quality, high‑impact results.
• Proficiency in Python and data science libraries (e.g. Pandas) with strong skills in data analysis, visualization, and applied ML workflows
• Excellent communication skills and proven ability to translate complex technical insights for cross‑functional partners, senior leadership, and executives
• Strong analytical and independent problem-solving skills, with ability to guide teams through ambiguity
• Familiarity interpreting outputs from human and automated evaluations, particularly with complex, nuanced, or multi‑labeled data, to inform mitigation improvements and shipping decisions
• Experience collecting and analyzing language, vision, or multimodal datasets
• Background in failure analysis, quality engineering, or robustness testing for ML‑driven systems
• Comfortable leading a team that works with sensitive or potentially offensive content

Preferred Qualifications

• Experience working in the Responsible AI space
• Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, EMNLP, etc.)
• Experience working on Responsible AI and AI SafetyStrong organizational and operational skills working with large, multi-functional, and diverse teams
• Curiosity about fairness and bias in generative AI systems, and a strong desire to help make the technology more equitable
• Strong organizational and operational skills working with large, multi-functional, and diverse teams

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $206,200 and $356,400, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.