AI/ML – Technical Leader, Engineering Efficiency


Job Overview

Key Qualifications

  • 5-10 years of engineering experience in roles related to aspects of software delivery systems and mechanisms
  • Deep passion for building end-to-end processes and services that bring efficiency and quality to software teams
  • 5+ years in a technical leadership role leading teams of 20+ engineers
  • Broad knowledge of computer science and systems; ability to quickly learn new domains
  • Familiarity with full-stack software development
  • Enthusiastically initiates, develops, and maintains effective working relationships
  • Excellent analytical, comprehension, communication, writing, and consultative skills, Innovative in proposing solutions
  • Ability to drive cultural change around craftsmanship and code hygiene
  • Experience managing the product roadmap and vision for a developer experience
  • Understanding of cloud-based infrastructure and platform services
  • Description

    Apple is hiring a Technical Leader for our Engineering Efficiency team. We’re looking to drive a revolutionary change in the way we prototype, build, test and deliver our AI/ML platform to our users. You’ll be working as part of a team to define the future product roadmap and technical vision for the full software development lifecycle. Our goals are broad, and we’re looking for candidates with experience, aptitude and passion in many different disciplines related to software development and delivery. The ideal candidate will be highly customer oriented: We expect our leaders to learn from our customers and combine that learning with their own expertise to tailor solutions to our unique challenges. Leaders should be highly adaptable, able to pivot as the priorities and goals of the organization evolve, and be willing to speak up to challenge the status quo. If you are excited about the processes and tooling for developing and delivering software, from engineer to user, please talk to us!

    Education & Experience

    Bachelor’s degree in Computer Science, or a related field or equivalent work experience is required.

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