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Senior Software Engineer, Applied Machine Learning

Apple

Software and Technology Jobs

Senior Software Engineer, Applied Machine Learning

full-timePosted: Aug 22, 2025

Job Description

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. 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.

Locations

  • Cupertino, California, United States 95014

Salary

Estimated Salary Rangemedium confidence

40,000,000 - 70,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • sensor fusion algorithmsintermediate
  • model human movementintermediate
  • architect and implement complex C++ systemsintermediate
  • sensor data processingintermediate
  • translate ML research into optimized production algorithmsintermediate
  • analyze and visualize dataintermediate
  • maintain complex system softwareintermediate
  • multi-threadingintermediate
  • real-time constraintsintermediate
  • low-level systems programmingintermediate
  • ML model implementationintermediate
  • data analysisintermediate
  • building sophisticated algorithmsintermediate
  • collaborate with ML engineers and scientistsintermediate

Required Qualifications

  • You have strong proficiency in C++ or Objective-C/Swift development and debugging, particularly for complex, multi-threaded systems (experience)
  • You have working knowledge of Python and are comfortable using it for ML model development, data analysis, and prototyping (experience)
  • You have solid understanding of ML pipelines, model implementation, and can translate research prototypes into production code (experience)
  • You're comfortable with data analysis and visualization, and can derive actionable insights from sensor data (experience)
  • You excel at systems-level programming including performance optimization, memory management, and real-time constraints (experience)
  • You can architect robust system infrastructure while understanding the algorithmic requirements it needs to support (experience)
  • You have experience with concurrent programming, synchronization, and debugging complex threading issues (experience)
  • You appreciate both the engineering rigor of production systems and the analytical creativity of applied ML (experience)
  • 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 (experience, 8 years)

Preferred Qualifications

  • You thrive in environments requiring versatility and enjoy switching between systems engineering, ML implementation, and data analysis (experience)
  • You thrive in a collaborative environment and can clearly communicate while driving multiple projects across teams (experience)
  • You are obsessively passionate and inquisitive, and seek to solve everyday problems in innovative ways (experience)
  • You enjoy taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm (experience)
  • You build partnerships and work collaboratively with others to meet shared objectives (experience)
  • Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences (experience)
  • You consistently achieve results, even under tough circumstances (experience)
  • You handle conflict situations effectively, with a minimum of noise (experience)

Responsibilities

  • 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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Apple logo

Senior Software Engineer, Applied Machine Learning

Apple

Software and Technology Jobs

Senior Software Engineer, Applied Machine Learning

full-timePosted: Aug 22, 2025

Job Description

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. 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.

Locations

  • Cupertino, California, United States 95014

Salary

Estimated Salary Rangemedium confidence

40,000,000 - 70,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • sensor fusion algorithmsintermediate
  • model human movementintermediate
  • architect and implement complex C++ systemsintermediate
  • sensor data processingintermediate
  • translate ML research into optimized production algorithmsintermediate
  • analyze and visualize dataintermediate
  • maintain complex system softwareintermediate
  • multi-threadingintermediate
  • real-time constraintsintermediate
  • low-level systems programmingintermediate
  • ML model implementationintermediate
  • data analysisintermediate
  • building sophisticated algorithmsintermediate
  • collaborate with ML engineers and scientistsintermediate

Required Qualifications

  • You have strong proficiency in C++ or Objective-C/Swift development and debugging, particularly for complex, multi-threaded systems (experience)
  • You have working knowledge of Python and are comfortable using it for ML model development, data analysis, and prototyping (experience)
  • You have solid understanding of ML pipelines, model implementation, and can translate research prototypes into production code (experience)
  • You're comfortable with data analysis and visualization, and can derive actionable insights from sensor data (experience)
  • You excel at systems-level programming including performance optimization, memory management, and real-time constraints (experience)
  • You can architect robust system infrastructure while understanding the algorithmic requirements it needs to support (experience)
  • You have experience with concurrent programming, synchronization, and debugging complex threading issues (experience)
  • You appreciate both the engineering rigor of production systems and the analytical creativity of applied ML (experience)
  • 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 (experience, 8 years)

Preferred Qualifications

  • You thrive in environments requiring versatility and enjoy switching between systems engineering, ML implementation, and data analysis (experience)
  • You thrive in a collaborative environment and can clearly communicate while driving multiple projects across teams (experience)
  • You are obsessively passionate and inquisitive, and seek to solve everyday problems in innovative ways (experience)
  • You enjoy taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm (experience)
  • You build partnerships and work collaboratively with others to meet shared objectives (experience)
  • Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences (experience)
  • You consistently achieve results, even under tough circumstances (experience)
  • You handle conflict situations effectively, with a minimum of noise (experience)

Responsibilities

  • 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.

Target Your Resume for "Senior Software Engineer, Applied Machine Learning" , Apple

Get personalized recommendations to optimize your resume specifically for Senior Software Engineer, Applied Machine Learning. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Software Engineer, Applied Machine Learning" , Apple

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Hardware

Answer 10 quick questions to check your fit for Senior Software Engineer, Applied Machine Learning @ Apple.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.