Senior Engineer - Health AIML

Apple • Cupertino, CA

10h

About The Position

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. 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 mentoring a world-class engineering organization, fostering a culture of continuous improvement, and cultivating collaboration with peers across AIML and Apple.

Requirements

• 10+ years of experience in a technical leadership role, with a demonstrated history of shipping complex AIML products.
• 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.
• MS/PhD in Machine Learning, Computer Science, or equivalent experience in a related field.

Nice To Haves

• Expertise in generative AI technology and large language models (LLMs) is highly desirable.
• 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.

Responsibilities

• Guiding the full lifecycle of applied research—from concept to production—by applying novel AI/ML techniques to unique challenges in the health space.
• Partnering closely with product, design, and other research and engineering teams to translate cutting-edge research into the next generation of Apple health products.
• Mentoring a world-class engineering organization.
• Fostering a culture of continuous improvement.
• Cultivating collaboration with peers across AIML and Apple.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior