Machine Learning Engineer, OS Intelligence
Apple
Machine Learning Engineer, OS Intelligence
Job Description
Are you excited about the ways Machine Learning can make all Apple products more intelligent and personalized? From extending your battery life, to accelerating app launches, to managing memory intelligently, the OS Intelligence team builds innovative ML solutions ranging from predictive forecasting models to deep foundation models that improve the user experience originating from the core of the operating system. Within the umbrella of Software Engineering, the Energy Technologies division focuses on solving key resource tradeoff and optimization problems, which sets Apple products apart. The OS Intelligence team within this group is a focused Applied Machine Learning team that imbues the low layers of the operating system with Machine Learning-based intelligence. The team ships key features and technologies regularly, including Adaptive Power in iOS 26. The team is looking for extraordinary candidates to design Deep Learning architectures, implement industry-leading Machine Learning algorithms, as well as contribute high-quality software to iOS, iPadOS, macOS, watchOS, visionOS, and more. In this unique and highly visible role, you will be working cross-functionally to add intelligence to new domains to create beautiful user experiences. Through data analysis, ML model development, and on-device software development, you will push the boundary of what's possible in an operating system.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learningintermediate
- Deep Learningintermediate
- predictive forecasting modelsintermediate
- deep foundation modelsintermediate
- design Deep Learning architecturesintermediate
- implement Machine Learning algorithmsintermediate
- software engineeringintermediate
- data analysisintermediate
- ML model developmentintermediate
- on-device software developmentintermediate
Required Qualifications
- Bachelor’s degree in Computer Science or equivalent work experience. (experience)
- Strong programming background and a clear understanding of operating system components. (experience)
- Familiarity with statistics, data analysis, or machine learning and the enthusiasm to learn more. (experience)
- Highly professional and collaborative with outstanding communication and presentation skills. (experience)
- Proven track record leading software projects from inception through customer delivery. (experience)
- Ability to deliver high quality work on tight schedules consistently. (experience)
Preferred Qualifications
- Familiarity with Python, Objective C, or Swift. (experience)
- Familiarity with Deep Learning libraries like PyTorch and Tensorflow. (experience)
- Experience building and leading Applied Machine Learning projects in industry or academia. (experience)
Responsibilities
- The team is looking for extraordinary candidates to design Deep Learning architectures, implement industry-leading Machine Learning algorithms, as well as contribute high-quality software to iOS, iPadOS, macOS, watchOS, visionOS, and more. In this unique and highly visible role, you will be working cross-functionally to add intelligence to new domains to create beautiful user experiences. Through data analysis, ML model development, and on-device software development, you will push the boundary of what's possible in an operating system.
- Innovate, conceptualize, and prototype novel intelligent experiences by leveraging recent advances in LLMs, sequence-to-sequence models, and fine-tuning to architect foundation models for a diverse set of applications in the OS.
- Build scalable cloud-based and on-device infrastructure to accelerate seamlessly running experiments and monitoring shipped models.
- Analyze, understand, and present key performance data for highly-visible OS features.
- Write elegant, performant code in Objective-C or Swift and test, debug, and productize it.
- Consult with and influence other teams to drive adoption of new APIs.
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Answer 10 quick questions to check your fit for Machine Learning Engineer, OS Intelligence @ Apple.
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Machine Learning Engineer, OS Intelligence
Apple
Machine Learning Engineer, OS Intelligence
Job Description
Are you excited about the ways Machine Learning can make all Apple products more intelligent and personalized? From extending your battery life, to accelerating app launches, to managing memory intelligently, the OS Intelligence team builds innovative ML solutions ranging from predictive forecasting models to deep foundation models that improve the user experience originating from the core of the operating system. Within the umbrella of Software Engineering, the Energy Technologies division focuses on solving key resource tradeoff and optimization problems, which sets Apple products apart. The OS Intelligence team within this group is a focused Applied Machine Learning team that imbues the low layers of the operating system with Machine Learning-based intelligence. The team ships key features and technologies regularly, including Adaptive Power in iOS 26. The team is looking for extraordinary candidates to design Deep Learning architectures, implement industry-leading Machine Learning algorithms, as well as contribute high-quality software to iOS, iPadOS, macOS, watchOS, visionOS, and more. In this unique and highly visible role, you will be working cross-functionally to add intelligence to new domains to create beautiful user experiences. Through data analysis, ML model development, and on-device software development, you will push the boundary of what's possible in an operating system.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learningintermediate
- Deep Learningintermediate
- predictive forecasting modelsintermediate
- deep foundation modelsintermediate
- design Deep Learning architecturesintermediate
- implement Machine Learning algorithmsintermediate
- software engineeringintermediate
- data analysisintermediate
- ML model developmentintermediate
- on-device software developmentintermediate
Required Qualifications
- Bachelor’s degree in Computer Science or equivalent work experience. (experience)
- Strong programming background and a clear understanding of operating system components. (experience)
- Familiarity with statistics, data analysis, or machine learning and the enthusiasm to learn more. (experience)
- Highly professional and collaborative with outstanding communication and presentation skills. (experience)
- Proven track record leading software projects from inception through customer delivery. (experience)
- Ability to deliver high quality work on tight schedules consistently. (experience)
Preferred Qualifications
- Familiarity with Python, Objective C, or Swift. (experience)
- Familiarity with Deep Learning libraries like PyTorch and Tensorflow. (experience)
- Experience building and leading Applied Machine Learning projects in industry or academia. (experience)
Responsibilities
- The team is looking for extraordinary candidates to design Deep Learning architectures, implement industry-leading Machine Learning algorithms, as well as contribute high-quality software to iOS, iPadOS, macOS, watchOS, visionOS, and more. In this unique and highly visible role, you will be working cross-functionally to add intelligence to new domains to create beautiful user experiences. Through data analysis, ML model development, and on-device software development, you will push the boundary of what's possible in an operating system.
- Innovate, conceptualize, and prototype novel intelligent experiences by leveraging recent advances in LLMs, sequence-to-sequence models, and fine-tuning to architect foundation models for a diverse set of applications in the OS.
- Build scalable cloud-based and on-device infrastructure to accelerate seamlessly running experiments and monitoring shipped models.
- Analyze, understand, and present key performance data for highly-visible OS features.
- Write elegant, performant code in Objective-C or Swift and test, debug, and productize it.
- Consult with and influence other teams to drive adoption of new APIs.
Tags & Categories
Answer 10 quick questions to check your fit for Machine Learning Engineer, OS Intelligence @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs