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Senior Staff Machine Learning Engineer, ML Platform

Cupertino

Pay
Pay not listedSimilar roles state $165K–$240K
Work setting
Not stated
Employment
Not stated
Apply at Apple

What you’ll work on

Full posting
  • Design and build ML platform capabilities for model training and inference

  • Work closely with ML engineers and scientists on platform development

  • Build associated data and application services for Apple Ads teams

From the employer’s posting
providing a self-serve, unified platform with foundational infrastructure in model training, inference and agentic AI
You will work closely with other ML engineers and scientists to design, develop, and build world-class platform capabilities
as well as associated data and application services

What you’ll bring

All qualifications

Core experience

  • Results-oriented and versatile engineer
  • Ability to excel in an Agile environment
Qualification wording
Are you a results-oriented and versatile engineer who can excel in an Agile environment?
who can excel in an Agile environment?

Posting record

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Status in our records
Live
First seen by us
Sep 25, 2026 · 35 days ago
Recorded sightings
232
Last seen by us
Oct 31, 2026

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Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the pay range before committing time to the process.

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Job description

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At Apple, we work every day to create products that enrich people’s lives. Apple Ads makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads, App Store, and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. The Machine Learning Platform team’s mission is to empower teams at Apple Ads to easily and rapidly develop, deploy and operate innovative ML applications at scale by providing a self-serve, unified platform with foundational infrastructure in model training, inference and agentic AI, as well as associated data and application services. Are you a results-oriented and versatile engineer who can excel in an Agile environment? You will work closely with other ML engineers and scientists to design, develop, and build world-class platform capabilities that will enable Apple Ads teams to improve and scale our ML features, models, and applications.
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Location & working pattern

Cupertino

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