Software Engineering Manager, Fitness Intelligence Infrastructure Watch Software

Imagine what you could do here at Apple. Innovation runs through everything we do from amazing technology to industry-leading environmental efforts and the diversity of people and ideas makes it possible. Join Apple and help us leave the world better than we found Apple Watch Software team is looking for an exceptionally dedicated software engineering manager to lead a new team focused on the intelligence infrastructure behind Apples fitness experiences. This team builds the datasets evaluation pipelines prompts and tooling that turn a promising model capability into something we are proud to addition to building infrastructure the team partners with the other fitness teams to bring unified intelligence capabilities to features across Apple Watch and role involves shipping real features alongside partner teams mentoring engineers growing the team by hiring and establishing new team practices in the domain. It requires a passion for iteration as the space continues to evolve. We value communication skills integrity and creativity and aspire to build diverse balanced and dynamic teams.

In this role your primary responsibility will be to manage and support a small team of deeply technical engineers working at the intersection of applied AI and fitness. Alongside the offline pipelines and evaluation harnesses your engineers write production Swift that ships in the OS and runs both on device and in server-side environments. The team collaborates closely with the Activity Workout and Fitness engineering teams as well as with Siri and platform intelligence teams across Apple and develops and maintains the tools and harnesses that help engineers across the organization build and evaluate intelligence-backed features.

Partner with feature-owning teams to define what the intelligence layer must deliver then deliver it co-owning outcomes rather than the craft of iteration to shipping quality: prompt development tool and function definitions scenario construction and the loop between golden datasets and evaluation pipelines that give the organization a trustworthy answer to whether a capability is good enough to the infrastructure that lets features scale past their first release including additional languages and regions broader feature awareness and richer how the state of the art in applied AI is moving and make deliberate calls about which new techniques are ready to bring into shipping experiences and which are grow and coach engineers and set the culture and engineering practices for a new for user privacy from the first sketch because fitness and health data deserves nothing less.

8 years industry experience.n3 years experience leading a technical team and collaborating across organizational boundaries or demonstrated readiness through sustained technical leadership of a technical understanding and hands-on experience with software development and lifecycle shipping user-facing features built on large language models carried through the iteration required to reach production -on experience with evaluation methodology prompt development and tuning and building the tooling and harnesses that make that work product sense and the ability to balance technical feasibility with user communication and interpersonal skills.

A track record of influencing outcomes across organizational boundaries delivering work that other teams features depend building datasets and measurement systems and using them to make quality tradeoffs shipping production Swift including API design performance and memory spanning both offline evaluation and production inference in health fitness or another domain where user trust and data sensitivity shape the building a team and its engineering practices from the ground to work with technology partners at all levels of the stack.