Health AIML - Distinguished Engineer

Apple
Apple

Cupertino, CA, USA

USD 311,100-496,900 / year + Equity

Posted on Jul 29, 2026
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, software engineers, and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a senior engineer excited about solving real-world problems in the health domain that make a difference in our customers' lives.
We are seeking a highly seasoned, product-focused technical leader with a proven history of scaling machine learning frameworks and infrastructure from the ground up. You have a passion for transforming noisy sensor streams into crisp, actionable health insights while upholding absolute user privacy. You thrive at the intersection of infrastructure development and consumer-facing reliability. As a cornerstone of the engineering group, you will not only execute the technical roadmap but also establish rigorous coding standards and architectural principles that ensure our health features run like a finely tuned machine. You are energized by the prospect of taking massive data wrangling challenges and shaping them into performant, elegant software solutions that billions of users take for granted.
  • 10+ years of overall software development experience.
  • Experience leading a team and/or a proven track record of cross-functional collaboration to deliver customer-facing features with machine learning capabilities in production.
  • BS/MS/Ph.D. in Computer Science, Computer Engineering, Machine Learning, or related fields (or equivalent qualification).
  • Architectural & Infrastructure Scale: Demonstrated experience building, optimizing, and scaling massive data pipelines and machine learning infrastructure to accommodate rapid, hyper-growth customer traffic and real-time operations.
  • Real-Time Algorithmic Execution: Strong track record in deploying models that handle real-time prediction problems with hundreds of moving variables and imperfect or noisy live data.
  • System Optimization & Constraints: Deep appreciation for frontend and client-side performance, with the ability to optimize complex algorithms to run seamlessly on consumer devices under strict resource or latency boundaries.
  • Consumer Product Sensibility: Proven ability to manage and lead engineering efforts that map direct backend machine learning capabilities to seamless, intuitive, and highly performant end-user applications.
  • Technical Quality Leadership: Extensive background in driving core engineering processes, championing great coding practices, and determining optimal architectures for reliability, developer productivity, and overall service health.
  • Core Technical Foundation: Robust software engineering fundamentals with experience in large-scale platform development, transactional systems, or multi-sided optimization marketplaces.
  • Ability to thrive in a fast-paced environment, deal with uncertainty, and adapt to new and changing requirements.
  • Proven track record of contributing to diverse teams in a collaborative environment.
  • A passion for building outstanding and innovative products. This position involves a wide variety of interdisciplinary skills.