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 this role youll 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. Youll 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
Youre 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
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