AIML - Machine Learning Engineer (On-Device Machine Learning), Machine Learning Platform and Infrastructure
Seattle, Washington
Summary
Apple's machine learning framework (Core ML) is looking for an exceptional software engineer to expand and support its suite of ML frameworks. In this highly collaborative role, you will be at the center of multiple efforts to make ML an accessible and powerful tool for all developers. We are looking for someone with proven mastery of software development with specific skills in ML. You should have a strong mix of education and practical experience with a real passion for diving in to challenging problems head first.
In this dynamic role you will be working on building highly performant ML frameworks on Apple devices and supporting developer adoption of their capabilities. We're looking for a highly motivated engineer that is creative, talented, and passionate about great products and fast, iterative development. You should enjoy drilling down into performance optimization, moving up to API design, all the way to creating your own frameworks and providing supporting content to empower developers.
Key Qualifications
Strong and proven software development skills
Passion for software architecture, API design and developer experience
Experience with and knowledge of a variety of machine learning libraries/packages
Exceptional verbal and written communication skills
Experience with Apple's development tools, languages (e.g. Swift), SDK, and app development is a big plus
Description
You will develop, maintain and support Apple's ML frameworks and tools. You will have the opportunity to work cross-functionally with many teams at Apple and impact a number of technologies. You will gain a deep understanding of our Core ML and Create ML frameworks in order to effectively work with both internal and external developers and advise them on best practices for deploy on-device ML solutions on Apple hardware. You will be responsible for staying up to date on the latest applications of machine learning, and for ensuring we are developing the functionality necessary for our developers to take advantage of those advancements.
Education & Experience
BS/MS/PhD in Computer Science or Electrical Engineering
Solid industry experience (3+ years)
Additional Requirements
Apple's machine learning framework (Core ML) is looking for an exceptional software engineer to expand and support its suite of ML frameworks. In this highly collaborative role, you will be at the center of multiple efforts to make ML an accessible and powerful tool for all developers. We are looking for someone with proven mastery of software development with specific skills in ML. You should have a strong mix of education and practical experience with a real passion for diving in to challenging problems head first.
In this dynamic role you will be working on building highly performant ML frameworks on Apple devices and supporting developer adoption of their capabilities. We're looking for a highly motivated engineer that is creative, talented, and passionate about great products and fast, iterative development. You should enjoy drilling down into performance optimization, moving up to API design, all the way to creating your own frameworks and providing supporting content to empower developers.
Key Qualifications
Strong and proven software development skills
Passion for software architecture, API design and developer experience
Experience with and knowledge of a variety of machine learning libraries/packages
Exceptional verbal and written communication skills
Experience with Apple's development tools, languages (e.g. Swift), SDK, and app development is a big plus
Description
You will develop, maintain and support Apple's ML frameworks and tools. You will have the opportunity to work cross-functionally with many teams at Apple and impact a number of technologies. You will gain a deep understanding of our Core ML and Create ML frameworks in order to effectively work with both internal and external developers and advise them on best practices for deploy on-device ML solutions on Apple hardware. You will be responsible for staying up to date on the latest applications of machine learning, and for ensuring we are developing the functionality necessary for our developers to take advantage of those advancements.
Education & Experience
BS/MS/PhD in Computer Science or Electrical Engineering
Solid industry experience (3+ years)
Additional Requirements
- Apple's most important resource, our soul, is our people. Apple benefits help further the well-being of our employees and their families in meaningful ways. No matter where you work at Apple, you can take advantage of our health and wellness resources and time-away programs. We're proud to provide stock grants to employees at all levels of the company, and we also give employees the option to buy Apple stock at a discount - both offer everyone at Apple the chance to share in the company's success. You'll discover many more benefits of working at Apple, such as programs that match your charitable contributions, reimburse you for continuing your education and give you special employee pricing on Apple products.
- Apple benefits programs vary by country and are subject to eligibility requirements.
- Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace.
Created: 2024-06-29
Reference: 200537335
Country: United States
State: Washington
City: Seattle
ZIP: 98109
About Apple
Founded in: 1976
Number of Employees: 154000
Website: https://www.apple.com/
Career site: https://www.apple.com/careers/us/
Wikipedia: https://en.wikipedia.org/wiki/Apple_Inc.
Instagram: https://www.instagram.com/apple/
LinkedIn: https://www.linkedin.com/company/apple
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