Senior ML Infrastructure Engineer
Apple
Senior ML Infrastructure Engineer
Job Description
The Intelligence Platform team empowers clients across Apple’s operating systems with high quality user-centric knowledge and inferences that enable next generation user experiences. We’re a systems engineering team focused on building the platform which enables state of the art technologies like generative AI, graph machine learning, and private learning to be used by hundreds of teams across Apple. This platform plays a critical role in the OS, acting as a central nervous system that is responsible for receiving, processing, responding to, and remembering crucial information. We are looking for an accomplished and driven senior software engineer with a background in designing large systems around Machine Learning, Large Language Models, and Generative AI. Your primary role will be designing and building the platform for teams across Apple used to bring intelligence to their applications and services. Your ideas will power next generation features, and impact hundreds of millions of people worldwide in their daily lives! As a Senior Engineer on the Intelligence Platform Team, you’ll join a phenomenal team of hardworking engineers and will be entrusted with a range of responsibilities. Your work will include: Collaborating with teams across Apple on training, qualifying, deploying, and serving models; designing and refining systems and APIs for Machine Learning and Generative AI; understanding and adapting new model architectures to constraints of their execution environments; working with leadership across Apple to define policy. You will be responsible for bringing industry leading research to hundreds of millions of people using Apple products every day.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
50,000,000 - 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
- designing large systems around Machine Learningintermediate
- designing large systems around Large Language Modelsintermediate
- designing large systems around Generative AIintermediate
- collaborating with teamsintermediate
- training modelsintermediate
- qualifying modelsintermediate
- deploying modelsintermediate
- serving modelsintermediate
- designing systems and APIs for Machine Learningintermediate
- designing systems and APIs for Generative AIintermediate
- understanding model architecturesintermediate
- adapting model architectures to execution environmentsintermediate
- working with leadership to define policyintermediate
- systems engineeringintermediate
Required Qualifications
- Excellent software design, problem solving and debugging skills (experience)
- Background architecting and building data or machine learning platforms (experience)
- Experience building on LLMs or other generative models (experience)
- Proven ability to comprehend, interpret, and apply cutting-edge research into tangible applications. (experience)
- Deep understanding of multi-threaded programming and synchronization. (experience)
Preferred Qualifications
- Experience building production feature engineering pipelines a plus (experience)
- Experience with distributed data systems a plus (experience)
- Experience with macOS/iOS development is a plus (experience)
Responsibilities
- As a Senior Engineer on the Intelligence Platform Team, you’ll join a phenomenal team of hardworking engineers and will be entrusted with a range of responsibilities. Your work will include: Collaborating with teams across Apple on training, qualifying, deploying, and serving models; designing and refining systems and APIs for Machine Learning and Generative AI; understanding and adapting new model architectures to constraints of their execution environments; working with leadership across Apple to define policy. You will be responsible for bringing industry leading research to hundreds of millions of people using Apple products every day.
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Senior ML Infrastructure Engineer
Apple
Senior ML Infrastructure Engineer
Job Description
The Intelligence Platform team empowers clients across Apple’s operating systems with high quality user-centric knowledge and inferences that enable next generation user experiences. We’re a systems engineering team focused on building the platform which enables state of the art technologies like generative AI, graph machine learning, and private learning to be used by hundreds of teams across Apple. This platform plays a critical role in the OS, acting as a central nervous system that is responsible for receiving, processing, responding to, and remembering crucial information. We are looking for an accomplished and driven senior software engineer with a background in designing large systems around Machine Learning, Large Language Models, and Generative AI. Your primary role will be designing and building the platform for teams across Apple used to bring intelligence to their applications and services. Your ideas will power next generation features, and impact hundreds of millions of people worldwide in their daily lives! As a Senior Engineer on the Intelligence Platform Team, you’ll join a phenomenal team of hardworking engineers and will be entrusted with a range of responsibilities. Your work will include: Collaborating with teams across Apple on training, qualifying, deploying, and serving models; designing and refining systems and APIs for Machine Learning and Generative AI; understanding and adapting new model architectures to constraints of their execution environments; working with leadership across Apple to define policy. You will be responsible for bringing industry leading research to hundreds of millions of people using Apple products every day.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
50,000,000 - 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
- designing large systems around Machine Learningintermediate
- designing large systems around Large Language Modelsintermediate
- designing large systems around Generative AIintermediate
- collaborating with teamsintermediate
- training modelsintermediate
- qualifying modelsintermediate
- deploying modelsintermediate
- serving modelsintermediate
- designing systems and APIs for Machine Learningintermediate
- designing systems and APIs for Generative AIintermediate
- understanding model architecturesintermediate
- adapting model architectures to execution environmentsintermediate
- working with leadership to define policyintermediate
- systems engineeringintermediate
Required Qualifications
- Excellent software design, problem solving and debugging skills (experience)
- Background architecting and building data or machine learning platforms (experience)
- Experience building on LLMs or other generative models (experience)
- Proven ability to comprehend, interpret, and apply cutting-edge research into tangible applications. (experience)
- Deep understanding of multi-threaded programming and synchronization. (experience)
Preferred Qualifications
- Experience building production feature engineering pipelines a plus (experience)
- Experience with distributed data systems a plus (experience)
- Experience with macOS/iOS development is a plus (experience)
Responsibilities
- As a Senior Engineer on the Intelligence Platform Team, you’ll join a phenomenal team of hardworking engineers and will be entrusted with a range of responsibilities. Your work will include: Collaborating with teams across Apple on training, qualifying, deploying, and serving models; designing and refining systems and APIs for Machine Learning and Generative AI; understanding and adapting new model architectures to constraints of their execution environments; working with leadership across Apple to define policy. You will be responsible for bringing industry leading research to hundreds of millions of people using Apple products every day.
Tags & Categories
Answer 10 quick questions to check your fit for Senior ML Infrastructure Engineer @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs