Senior Engineer 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.

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 researchfrom concept to productionby 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.

Define and drive a long-term technical strategy and applied research the technical vision architecture and execution of new applied research and engineering initiatives contributing directly to the design of novel models products and 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 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 with systems engineering; in-depth understanding of interdependencies of ML and SW ability to form senior partnerships and influence technical direction across a large cross-functional intuition for turning ambiguous research questions into concrete technical roadmaps and product in generative AI technology and large language models (LLMs) is highly in Machine Learning Computer Science or equivalent experience in a related field.

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