Senior Software Engineer, Applied Machine Learning
The Applied Sensing & Health team has built innovative ways for users to improve their health and fitness. When you exercise and move with your devices, it's the sensor fusion algorithms from the engineers and scientists on this team that track human motion and provide interpretable insights. Join us to work with people who have expertise and passion to model human movement and have a positive impact in users' lives. As a member of our dynamic group, you will have the unique and rewarding opportunity to shape upcoming products that will delight and inspire millions of Apple's customers every single day.
Description
The Applied Sensing & Health team delivers Health and Fitness features for Apple Watch, iPhones and other Apple products. We are looking for a versatile software engineer who can bridge the gap between ML research and production systems. In this role, you'll architect and implement complex C++ systems for sensor data processing, translate ML research into optimized production algorithms, analyze and visualize data to drive insights, and help maintain complex system software with multi-threading and real-time constraints. Your work will span from low-level systems programming to ML model implementation to data analysis - sometimes building sophisticated algorithms, sometimes crafting the critical "plumbing" that makes everything work reliably at scale. You'll collaborate closely with ML engineers, scientists, and multi-disciplinary teams across the company, working throughout the software lifecycle to deliver best-in-class performant and reliable systems that impact millions of users daily.
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Preferred Qualifications
You thrive in environments requiring versatility and enjoy switching between systems engineering, ML implementation, and data analysis
You thrive in a collaborative environment and can clearly communicate while driving multiple projects across teams
You are obsessively passionate and inquisitive, and seek to solve everyday problems in innovative ways
You enjoy taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
You build partnerships and work collaboratively with others to meet shared objectives
Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
You consistently achieve results, even under tough circumstances
You handle conflict situations effectively, with a minimum of noise
Minimum Qualifications
You have strong proficiency in C++ or Objective-C/Swift development and debugging, particularly for complex, multi-threaded systems
You have working knowledge of Python and are comfortable using it for ML model development, data analysis, and prototyping
You have solid understanding of ML pipelines, model implementation, and can translate research prototypes into production code
You're comfortable with data analysis and visualization, and can derive actionable insights from sensor data
You excel at systems-level programming including performance optimization, memory management, and real-time constraints
You can architect robust system infrastructure while understanding the algorithmic requirements it needs to support
You have experience with concurrent programming, synchronization, and debugging complex threading issues
You appreciate both the engineering rigor of production systems and the analytical creativity of applied ML
MS or Ph.D in Computer Science, Electrical Engineering, or related field, plus 8+ years of software engineering experience with exposure to both systems programming and ML/data analysis domains
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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