ML Frameworks Engineer, Personalization
Apple
ML Frameworks Engineer, Personalization
Job Description
The Apple Services Engineering (ASE) team is one of the most exciting examples of Apple’s long-held passion for combining art and technology. These are the people who power Search for the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on a substantial scale, meeting Apple’s high expectations with high performance to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. These engineers build secure, end-to-end solutions. They develop the custom software used to process all the creative work, the tools that providers use to deliver that media, all the server-side systems, and the APIs for many Apple services. Thanks to Apple’s outstanding integration of hardware, software, and services, engineers here partner to get behind a single unified vision. That vision always includes a deep dedication to strengthening Apple’s privacy policy, one of Apple’s core values. Although services are a bigger part of Apple’s business than ever before, these teams remain small, nimble, and multi-functional, offering greater exposure to the array of opportunities here. Join the Services AI/ML team and contribute to the development of frameworks that enable exceptional experiences across Apple Services, including the App Store, Video, and Music. Engage with a team of dedicated and creative individuals to achieve bold goals in an environment that fosters continuous curiosity and professional growth. Your contributions will empower teams at Apple to deliver personalized experiences while upholding the company's core values of privacy and data minimization. As a member of the Personalization ML Platform team, you will be responsible for designing and building machine learning (ML) frameworks and underlying infrastructure that power experiences across various Apple Services. Your work will involve developing frameworks that can run both on the cloud and on devices. Cloud-based frameworks must be scalable to handle billions of requests per day, while device-based frameworks must operate with minimal memory and compute resources. You will collaborate with a diverse team of experts, including ML researchers, Core OS engineers, infrastructure engineers, user interface designers, tools engineers, and technical writers. This dynamic environment encourages lively discussions and the exchange of ideas. Individuals with a broad perspective and a willingness to learn from others will thrive in this multi-disciplinary setting.
Locations
- Seattle, Washington, United States 98117
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 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 machine learning frameworksintermediate
- building machine learning infrastructureintermediate
- developing scalable cloud frameworksintermediate
- developing device-based frameworksintermediate
- collaborating with diverse teamsintermediate
- engaging with ML researchersintermediate
- working with Core OS engineersintermediate
- working with infrastructure engineersintermediate
- working with user interface designersintermediate
- working with tools engineersintermediate
- working with technical writersintermediate
- fostering continuous curiosityintermediate
- professional growthintermediate
- multi-disciplinary collaborationintermediate
- broad perspectiveintermediate
- willingness to learn from othersintermediate
Required Qualifications
- Applicants will have 5+ years experience in industry as a Software Engineer (experience, 5 years)
- Experience with API design and framework development (experience)
- Proficiency with Swift (experience)
- Experience in distributed computing, micro-services architecture and server side technologies. (experience)
- Experience with cloud-native deployment like AWS - Experience with continuous integration and continuous development solutions - Applicants will be able to demonstrate creativity, initiative and the ability to work to deadlines. (experience)
- Excellent interpersonal and communication skills - working independently and/or in small teams - Passion for building high-quality user experiences with attention to detail (experience)
- -BS CS or equivalent experience (experience)
Preferred Qualifications
- Java, GRPC, KV systems like Cassandra, Message Queues like Kafka (experience)
Responsibilities
- As a member of the Personalization ML Platform team, you will be responsible for designing and building machine learning (ML) frameworks and underlying infrastructure that power experiences across various Apple Services. Your work will involve developing frameworks that can run both on the cloud and on devices. Cloud-based frameworks must be scalable to handle billions of requests per day, while device-based frameworks must operate with minimal memory and compute resources. You will collaborate with a diverse team of experts, including ML researchers, Core OS engineers, infrastructure engineers, user interface designers, tools engineers, and technical writers. This dynamic environment encourages lively discussions and the exchange of ideas. Individuals with a broad perspective and a willingness to learn from others will thrive in this multi-disciplinary setting.
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Answer 10 quick questions to check your fit for ML Frameworks Engineer, Personalization @ Apple.
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ML Frameworks Engineer, Personalization
Apple
ML Frameworks Engineer, Personalization
Job Description
The Apple Services Engineering (ASE) team is one of the most exciting examples of Apple’s long-held passion for combining art and technology. These are the people who power Search for the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on a substantial scale, meeting Apple’s high expectations with high performance to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. These engineers build secure, end-to-end solutions. They develop the custom software used to process all the creative work, the tools that providers use to deliver that media, all the server-side systems, and the APIs for many Apple services. Thanks to Apple’s outstanding integration of hardware, software, and services, engineers here partner to get behind a single unified vision. That vision always includes a deep dedication to strengthening Apple’s privacy policy, one of Apple’s core values. Although services are a bigger part of Apple’s business than ever before, these teams remain small, nimble, and multi-functional, offering greater exposure to the array of opportunities here. Join the Services AI/ML team and contribute to the development of frameworks that enable exceptional experiences across Apple Services, including the App Store, Video, and Music. Engage with a team of dedicated and creative individuals to achieve bold goals in an environment that fosters continuous curiosity and professional growth. Your contributions will empower teams at Apple to deliver personalized experiences while upholding the company's core values of privacy and data minimization. As a member of the Personalization ML Platform team, you will be responsible for designing and building machine learning (ML) frameworks and underlying infrastructure that power experiences across various Apple Services. Your work will involve developing frameworks that can run both on the cloud and on devices. Cloud-based frameworks must be scalable to handle billions of requests per day, while device-based frameworks must operate with minimal memory and compute resources. You will collaborate with a diverse team of experts, including ML researchers, Core OS engineers, infrastructure engineers, user interface designers, tools engineers, and technical writers. This dynamic environment encourages lively discussions and the exchange of ideas. Individuals with a broad perspective and a willingness to learn from others will thrive in this multi-disciplinary setting.
Locations
- Seattle, Washington, United States 98117
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 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 machine learning frameworksintermediate
- building machine learning infrastructureintermediate
- developing scalable cloud frameworksintermediate
- developing device-based frameworksintermediate
- collaborating with diverse teamsintermediate
- engaging with ML researchersintermediate
- working with Core OS engineersintermediate
- working with infrastructure engineersintermediate
- working with user interface designersintermediate
- working with tools engineersintermediate
- working with technical writersintermediate
- fostering continuous curiosityintermediate
- professional growthintermediate
- multi-disciplinary collaborationintermediate
- broad perspectiveintermediate
- willingness to learn from othersintermediate
Required Qualifications
- Applicants will have 5+ years experience in industry as a Software Engineer (experience, 5 years)
- Experience with API design and framework development (experience)
- Proficiency with Swift (experience)
- Experience in distributed computing, micro-services architecture and server side technologies. (experience)
- Experience with cloud-native deployment like AWS - Experience with continuous integration and continuous development solutions - Applicants will be able to demonstrate creativity, initiative and the ability to work to deadlines. (experience)
- Excellent interpersonal and communication skills - working independently and/or in small teams - Passion for building high-quality user experiences with attention to detail (experience)
- -BS CS or equivalent experience (experience)
Preferred Qualifications
- Java, GRPC, KV systems like Cassandra, Message Queues like Kafka (experience)
Responsibilities
- As a member of the Personalization ML Platform team, you will be responsible for designing and building machine learning (ML) frameworks and underlying infrastructure that power experiences across various Apple Services. Your work will involve developing frameworks that can run both on the cloud and on devices. Cloud-based frameworks must be scalable to handle billions of requests per day, while device-based frameworks must operate with minimal memory and compute resources. You will collaborate with a diverse team of experts, including ML researchers, Core OS engineers, infrastructure engineers, user interface designers, tools engineers, and technical writers. This dynamic environment encourages lively discussions and the exchange of ideas. Individuals with a broad perspective and a willingness to learn from others will thrive in this multi-disciplinary setting.
Tags & Categories
Answer 10 quick questions to check your fit for ML Frameworks Engineer, Personalization @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs