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Machine Learning Engineer, Apple Store Online

Apple· Corporate Functions
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Hybrid (Austin, Texas), Hybrid (Cambridge, Massachusetts), Hybrid (Cupertino, California)Full-timePosted 4mo ago

About the role

Applied Machine Learning Engineer leading the Online Retail Decision Automation efforts for Apple Store Online. Focused on developing models for product search, recommendation systems, personalization, Generative AI, and optimizing Apple-wide systems and infrastructure. Mentors others, collaborates across researchers, data scientists, engineers, and product managers, and drives scalable end-to-end ML solutions for retail customers.

Responsibilities

  • Collaborate with other MLEs to build scalable, production-ready ML solutions, taking algorithms from initial concept through to deployment
  • Contribute to the ongoing improvement of our ML infrastructure and tooling
  • Engage in continuous learning and development, staying up-to-date with the latest advances in machine learning and software engineering

Qualifications

  • Bachelors in a quantitative field, such as Computer Science, Applied Mathematics, Statistics, or a related quantitative field with a focus on AI in coursework

Skills

Required:Programming (Python, Java, C++)Data processing pipelinesBig data technologiesMachine learning lifecycleML areasCommunication
Nice to have:Deep learning / RLML frameworks
Last updated Jul 17, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

AirPods Max 2Apple ArcadeApple CardApple Fitness+Apple MusicApple TVApple TV+Apple Watch Series 11
Company profileWebsite

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