Health AIML Distinguished Engineer

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 leading a team and/or a proven track record of cross-functional collaboration to deliver customer-facing features with machine learning capabilities in in Computer Science Computer Engineering Machine Learning or related fields (or equivalent qualification).

Architectural u0026 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 -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 Optimization u0026 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 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 Quality Leadership: Extensive background in driving core engineering processes championing great coding practices and determining optimal architectures for reliability developer productivity and overall service Technical Foundation: Robust software engineering fundamentals with experience in large-scale platform development transactional systems or multi-sided optimization to thrive in a fast-paced environment deal with uncertainty and adapt to new and changing track record of contributing to diverse teams in a collaborative passion for building outstanding and innovative products. This position involves a wide variety of interdisciplinary skills.