Senior Software Engineer, Applied Machine Learning
Apple
Full-time
On-site
Cupertino, California, United States
AI and Machine Learning
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.
- 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 thrive in environments requiring versatility and enjoy switching between systems engineering, ML implementation, and data analysis
- 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
- 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