AIML - Director of Applied Research and Engineering, Health AIML

The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists and machine learning engineers passionate about delivering innovative technologies that benefit our users. We are seeking a mission-driven, hands-on technical leader to spearhead new strategic initiatives at the intersection of health and artificial intelligence. The ideal candidate is a "player-coach" who will guide the technical vision for applied research, lead the engineering execution, and build a world-class organization to deliver on these initiatives.

In this role, you will leverage your deep technical expertise to push beyond state-of-the-art methodologies. You will be responsible for guiding the full lifecycle of applied research—from concept to production—by applying novel AI/ML techniques to unique challenges in the health space. You will partner closely with product, design, and other research and engineering teams to translate cutting-edge research into the next generation of Apple health products, all while upholding the privacy standards for which Apple is known. As a leader, you will be responsible for hiring, growing, and mentoring a world-class engineering organization, fostering a culture of continuous improvement, and cultivating collaboration with peers across AIML and Apple.

• Define and drive a long-term technical strategy and applied research roadmap.
• Lead the technical vision, architecture and execution of new applied research and engineering initiatives, contributing directly to the design of novel models, products and algorithms.
• Build team capabilities (through hiring, training, tools, and process) that enable the reproducible, transparent, trusted work that influences decisions.
• Manage complex relationships across multiple functions and establish positive partnerships with XFN leaders. Influence the roadmaps of partners and collaborators across Apple. Translate applied research into novel user-facing features.
• Conduct high-impact exploratory analyses to enrich our understanding of user needs and future opportunities.

• 10+ years of experience in a technical leadership role, with a demonstrated history of shipping complex AIML products.
• 10+ years of experience in a managerial role, with a proven ability to recruit top talent and scale engineering organizations.
• Experience with systems engineering; in-depth understanding of interdependencies of ML and SW components.
• Demonstrated ability to form senior partnerships and influence technical direction across a large, cross-functional organization.
• Strong intuition for turning ambiguous research questions into concrete technical roadmaps and product opportunities.
• Expertise in generative AI technology and large language models (LLMs) is highly desirable.
• Experience in the health technology space is highly desirable.
• MS/PhD in Machine Learning, Computer Science, or equivalent experience in a related field.
• Management Style: You know how to recruit, hire and grow people who are not only great technically but also demonstrate success in the highly collaborative, functional environment of innovation at Apple. Your teams are proactive and drive a vision, working in service of something larger. As a leader, you give clear feedback that balances opportunities for growth with a vision to encourage. You are humble and lead by example, have compassion for your colleagues and the challenges they face, but can drive a controversial direction when needed.

• Extensive experience delivering large-scale product or platform outcomes, leveraging cross-functional partnerships
• Proven record of gaining technical expertise on the job; demonstrates the ability to learn new technologies independently.
• Excellent understanding of an ML-based product lifecycle.
• Demonstrated depth of knowledge and application of statistics-based evaluation methodologies or user success metrics.
• Expertise in generative AI technology, large language models (LLMs)
• Experience with systems engineering; in-depth understanding of interdependencies of ML and SW components.
• Proven innovation record
• Experience providing technical guidance to an engineering organization
• Ability to develop a long-term vision and execute strategies at scale while maintaining a grasp of technical details for better decision-making
• Experience in establishing and maintaining technical cross-functional partnerships across multiple organizations
• Experience with technical presentations for multiple audiences, including executives

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 $305,000 and $487,200, 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.