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Description
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.
Minimum Qualifications
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. Expertise in generative AI technology and large language models (LLMs) is highly desirable. MS/PhD in Machine Learning, Computer Science, or equivalent experience in a related field.
Preferred Qualifications
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.
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