Senior Software Engineer, Applied Machine Learning

Senior Software Engineer, Applied Machine Learning

Cupertino, California, United States

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.

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 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

Preferred Qualifications

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

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.

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.