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Full-Stack Engineer for AI/ML Platform, AML

Apple

Salary not specified
Dec 21, 2025
Austin, TX, US
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Apple’s Applied Machine Learning team is looking to build the next generation of their platform enabling a new wave of AI and ML-powered applications across hundreds of teams and thousands of apps and models.

Requirements

  • Strong CS fundamentals, including data structures, algorithms, system design, object-oriented and functional programming, etc.
  • Extensive experience designing and implementing large, highly interactive applications from scratch using one of the modern JS frameworks (Vue, React, or Angular) utilizing client-side routing and data store
  • Hands-on experience building facade/webapp and API data aggregation services using Java, Spring (preferred), Node or Express
  • Deep knowledge and experience with development lifecycle, CI/CD pipelines, different types of automation testing, logging, monitoring and alerting, and production debugging
  • Experience with web accessibility standards is a plus
  • Ability to speak a common language with back-end, DevOps, SRE, and SDET engineers
  • Good sense of pixel-perfect design and UX and ability to build new UI that looks good using existing UX guide and UI components library

Responsibilities

  • own, drive, design, and implement the face of our platform
  • be responsible for the user experience of our customers making it easy to use, feature reach, and satisfy the ever growing demands in faster-than-ever developing AI/ML space
  • work closely with software and ML engineers to make sure they can utilize the platform as efficiently as possible and get all the features they need
  • integrate with back-end services engineers
  • work with infrastructure and DevOps engineers for every customer
  • help shape the future and the roadmap of our platform
  • drive strong engineering excellence and culture

Other

  • MS in Computer Science, Math, Physics, Engineering, or a related STEM field (Preferred Qualifications)
  • BS in Computer Science, Math, Physics, Engineering, or a related STEM field (Minimum Qualifications)
  • Strong collaboration skills, system thinking, and ability to clearly explain complex concepts
  • Apple is an equal opportunity employer that is committed to inclusion and diversity
  • Ability to work with diverse teams and customers