Senior Software Engineer, Applied Machine Learning

Apple • Cupertino, CA

1d

About The Position

The Applied Sensing & Health team delivers critical Health and Fitness features
for Apple Watch, iPhones, and other Apple products. We are seeking a versatile
software engineer who can bridge the gap between cutting-edge ML research and
robust production systems. In this pivotal role, you will architect and
implement complex C++ systems for sensor data processing, translate advanced ML
research into optimized, high-performance production algorithms, analyze and
visualize data to drive profound insights, and maintain sophisticated system
software with multi-threading and real-time constraints.

Your work will span from low-level systems programming to ML model
implementation to deep data analysis—sometimes building sophisticated
algorithms, sometimes crafting the critical infrastructure that makes everything
work reliably at Apple's scale. You'll collaborate closely with ML engineers,
scientists, and multi-disciplinary teams across the company, working throughout
the entire software lifecycle to deliver best-in-class, performant, and reliable
systems that impact millions of users daily..

Requirements

• MS or Ph.D. preferred in Computer Science, Electrical Engineering, or related field, plus 3+ years of software engineering experience with exposure to both systems programming and ML/data analysis domains
• Strong proficiency in C++ or Objective-C/Swift development and debugging, with extensive experience in complex, multi-threaded and concurrent systems, including synchronization and debugging advanced threading issues
• Working knowledge of Python for ML model development, data analysis, and prototyping
• Solid understanding of ML pipelines, model implementation, and translating research prototypes into production code
• Familiarity with modern GenAI-enabled development workflows and tools (e.g., AI-assisted coding, automated code generation, intelligent debugging), coupled with a strong aptitude for learning and adapting to evolving technologies
• Comfort with data analysis and visualization, deriving actionable insights from sensor data

Nice To Haves

• A demonstrated passion for health and fitness, driven to empower users to live healthier, more active lives through technology
• Exceptional collaboration and communication skills, adept at driving cross-functional initiatives
• A proactive, inquisitive problem-solver who thrives on tackling complex challenges and delivering innovative solutions
• Demonstrated ability to consistently achieve results in dynamic and challenging environments

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees