Machine Learning Engineer
Apple
Machine Learning Engineer
Job Description
Join the Applied Sensing & Health team and build the software systems that will enable the next generation of fitness, safety , health experiences. We are a highly multi-disciplinary team and we tackle the most challenging problems in this space. As a member of our team, you will have the unique and rewarding opportunity to shape upcoming products that will motivate and inspire millions of Apple's customers every single day . The Applied Sensing & Health team delivers Safety/Fitness/Health features for Apple Watch, iPhones, and other Apple products. We are looking for an ML engineer who cares deeply about their craft to join our team. The roles and responsibilities include designing and implementing models and algorithms for Safety , Health, and Fitness use cases, driving failure analysis and providing interpretable insights, optimizing implementations for power, memory and performance, and and coordinating closely with multi-disciplinary teams across the company . Y ou will work with scientists, engineers, QA, and project managers throughout the software lifecycle to successfully deliver best-in-class secure and scalable systems. Most importantly , you will help ship features that impact millions of users on a daily basis.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
25,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- designing and implementing models and algorithmsintermediate
- driving failure analysisintermediate
- providing interpretable insightsintermediate
- optimizing implementations for power, memory and performanceintermediate
- coordinating with multi-disciplinary teamsintermediate
- working with scientists, engineers, QA, and project managersintermediate
- delivering secure and scalable systemsintermediate
Required Qualifications
- MS or PhD in quantitative modeling and data science discipline (machine learning, statistics/biostatistics, epidemiology) (degree in phd in quantitative modeling and data science discipline)
- Strong background in developing machine learning and/or deep learning models, preferably with time series data (experience)
- Experience in defining hypotheses, design of experiments, testing, and proving hypotheses (experience)
- Experience implementing prototypes in Python and/or MA TLAB, assessing performance, and doing failure analysis (experience)
Preferred Qualifications
- Strong verbal and written communication skills (experience)
- You have demonstrated the ability to break down complex requirements into independent components for the purpose (experience)
- of building modular systems and software (experience)
- You have experience converting desired outcomes into specs, and evaluating trade-offs between different operating (experience)
- points (experience)
- You appreciate the computational and storage complexities that come with modeling using large datasets (experience)
- You believe that the integrity of the tooling and pipelines are critical to coming up with high quality analyses. (experience)
- You have experience working with cross-functional and/or interdisciplinary teams (experience)
- You understand the role feedback plays in your growth, and how effective communication affords more feedback (experience)
- opportunities (experience)
Responsibilities
- The Applied Sensing & Health team delivers Safety/Fitness/Health features for Apple Watch, iPhones, and other Apple
- products. We are looking for an ML engineer who cares deeply about their craft to join our team. The roles and responsibilities
- include designing and implementing models and algorithms for Safety , Health, and Fitness use cases, driving failure analysis
- and providing interpretable insights, optimizing implementations for power, memory and performance, and and coordinating
- closely with multi-disciplinary teams across the company . Y ou will work with scientists, engineers, QA, and project managers
- throughout the software lifecycle to successfully deliver best-in-class secure and scalable systems. Most importantly , you will
- help ship features that impact millions of users on a daily basis.
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Answer 10 quick questions to check your fit for Machine Learning Engineer @ Apple.
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~2 Minutes
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Machine Learning Engineer
Apple
Machine Learning Engineer
Job Description
Join the Applied Sensing & Health team and build the software systems that will enable the next generation of fitness, safety , health experiences. We are a highly multi-disciplinary team and we tackle the most challenging problems in this space. As a member of our team, you will have the unique and rewarding opportunity to shape upcoming products that will motivate and inspire millions of Apple's customers every single day . The Applied Sensing & Health team delivers Safety/Fitness/Health features for Apple Watch, iPhones, and other Apple products. We are looking for an ML engineer who cares deeply about their craft to join our team. The roles and responsibilities include designing and implementing models and algorithms for Safety , Health, and Fitness use cases, driving failure analysis and providing interpretable insights, optimizing implementations for power, memory and performance, and and coordinating closely with multi-disciplinary teams across the company . Y ou will work with scientists, engineers, QA, and project managers throughout the software lifecycle to successfully deliver best-in-class secure and scalable systems. Most importantly , you will help ship features that impact millions of users on a daily basis.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
25,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- designing and implementing models and algorithmsintermediate
- driving failure analysisintermediate
- providing interpretable insightsintermediate
- optimizing implementations for power, memory and performanceintermediate
- coordinating with multi-disciplinary teamsintermediate
- working with scientists, engineers, QA, and project managersintermediate
- delivering secure and scalable systemsintermediate
Required Qualifications
- MS or PhD in quantitative modeling and data science discipline (machine learning, statistics/biostatistics, epidemiology) (degree in phd in quantitative modeling and data science discipline)
- Strong background in developing machine learning and/or deep learning models, preferably with time series data (experience)
- Experience in defining hypotheses, design of experiments, testing, and proving hypotheses (experience)
- Experience implementing prototypes in Python and/or MA TLAB, assessing performance, and doing failure analysis (experience)
Preferred Qualifications
- Strong verbal and written communication skills (experience)
- You have demonstrated the ability to break down complex requirements into independent components for the purpose (experience)
- of building modular systems and software (experience)
- You have experience converting desired outcomes into specs, and evaluating trade-offs between different operating (experience)
- points (experience)
- You appreciate the computational and storage complexities that come with modeling using large datasets (experience)
- You believe that the integrity of the tooling and pipelines are critical to coming up with high quality analyses. (experience)
- You have experience working with cross-functional and/or interdisciplinary teams (experience)
- You understand the role feedback plays in your growth, and how effective communication affords more feedback (experience)
- opportunities (experience)
Responsibilities
- The Applied Sensing & Health team delivers Safety/Fitness/Health features for Apple Watch, iPhones, and other Apple
- products. We are looking for an ML engineer who cares deeply about their craft to join our team. The roles and responsibilities
- include designing and implementing models and algorithms for Safety , Health, and Fitness use cases, driving failure analysis
- and providing interpretable insights, optimizing implementations for power, memory and performance, and and coordinating
- closely with multi-disciplinary teams across the company . Y ou will work with scientists, engineers, QA, and project managers
- throughout the software lifecycle to successfully deliver best-in-class secure and scalable systems. Most importantly , you will
- help ship features that impact millions of users on a daily basis.
Tags & Categories
Answer 10 quick questions to check your fit for Machine Learning Engineer @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs