Machine Learning Engineer
Apple
Machine Learning Engineer
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 ML engineers who care deeply about their craft to join us. The roles and responsibilities include scoping, designing and implementing models for Health and Fitness algorithms, optimizing implementations for power, memory and performance, and coordinating closely with multi-disciplinary teams across the company. You will work with scientists, engineers, QA, and project managers throughout the software lifecycle in successfully delivering 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
- sensor fusion algorithmsintermediate
- model human movementintermediate
- scopingintermediate
- designingintermediate
- implementing modelsintermediate
- Health and Fitness algorithmsintermediate
- optimizing implementationsintermediate
- power optimizationintermediate
- memory optimizationintermediate
- performance optimizationintermediate
- coordinating with multi-disciplinary teamsintermediate
- working with scientistsintermediate
- working with engineersintermediate
- working with QAintermediate
- working with project managersintermediate
- software lifecycle managementintermediate
- delivering secure systemsintermediate
- delivering scalable systemsintermediate
Required Qualifications
- MS 3+ years experience in quantitative data science discipline (statistics/biostatistics, epidemiology, computer science). (experience, 3 years)
- Strong background in developing machine learning and/or deep learning models, preferably with time series data. (experience)
- Strong proficiency in Python and ML frameworks e.g. PyTorch, Tensorflow (experience)
Preferred Qualifications
- Ph.D or 5+ years experience in quantitative data science discipline (statistics/biostatistics, epidemiology, computer science). (experience, 5 years)
- You can form hypotheses, and can creatively apply different statistical approaches to the data in proving the hypotheses. (experience)
- You appreciate the computational and storage complexities that come with modeling using large datasets. (experience)
- You leverage distributed compute/storage models when the scale of data calls for it. (experience)
- You believe that the integrity of the tooling and pipelines are critical to coming up with high quality analyses. (experience)
- You understand the role feedback plays in your growth, and how effective communication affords more feedback opportunities. (experience)
Responsibilities
- The Applied Sensing & Health team delivers Health and Fitness features for Apple Watch, iPhones and other Apple products. We are looking for ML engineers who care deeply about their craft to join us. The roles and responsibilities include scoping, designing and implementing models for Health and Fitness algorithms, optimizing implementations for power, memory and performance, and coordinating closely with multi-disciplinary teams across the company. You will work with scientists, engineers, QA, and project managers throughout the software lifecycle in successfully delivering 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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Machine Learning Engineer
Apple
Machine Learning Engineer
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 ML engineers who care deeply about their craft to join us. The roles and responsibilities include scoping, designing and implementing models for Health and Fitness algorithms, optimizing implementations for power, memory and performance, and coordinating closely with multi-disciplinary teams across the company. You will work with scientists, engineers, QA, and project managers throughout the software lifecycle in successfully delivering 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
- sensor fusion algorithmsintermediate
- model human movementintermediate
- scopingintermediate
- designingintermediate
- implementing modelsintermediate
- Health and Fitness algorithmsintermediate
- optimizing implementationsintermediate
- power optimizationintermediate
- memory optimizationintermediate
- performance optimizationintermediate
- coordinating with multi-disciplinary teamsintermediate
- working with scientistsintermediate
- working with engineersintermediate
- working with QAintermediate
- working with project managersintermediate
- software lifecycle managementintermediate
- delivering secure systemsintermediate
- delivering scalable systemsintermediate
Required Qualifications
- MS 3+ years experience in quantitative data science discipline (statistics/biostatistics, epidemiology, computer science). (experience, 3 years)
- Strong background in developing machine learning and/or deep learning models, preferably with time series data. (experience)
- Strong proficiency in Python and ML frameworks e.g. PyTorch, Tensorflow (experience)
Preferred Qualifications
- Ph.D or 5+ years experience in quantitative data science discipline (statistics/biostatistics, epidemiology, computer science). (experience, 5 years)
- You can form hypotheses, and can creatively apply different statistical approaches to the data in proving the hypotheses. (experience)
- You appreciate the computational and storage complexities that come with modeling using large datasets. (experience)
- You leverage distributed compute/storage models when the scale of data calls for it. (experience)
- You believe that the integrity of the tooling and pipelines are critical to coming up with high quality analyses. (experience)
- You understand the role feedback plays in your growth, and how effective communication affords more feedback opportunities. (experience)
Responsibilities
- The Applied Sensing & Health team delivers Health and Fitness features for Apple Watch, iPhones and other Apple products. We are looking for ML engineers who care deeply about their craft to join us. The roles and responsibilities include scoping, designing and implementing models for Health and Fitness algorithms, optimizing implementations for power, memory and performance, and coordinating closely with multi-disciplinary teams across the company. You will work with scientists, engineers, QA, and project managers throughout the software lifecycle in successfully delivering 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