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 AI/ML - Full-Stack Engineering Manager, Engineering Efficiency - Cupertino, California, United States

Job information
Posted by: Apple 
Hiring entity type: Retail 
Work authorization: Not Specified for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Computers - Programming Languages
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: 200208332 / Latpro-3762848 
Date posted: Nov-20-2020
State, Zip: California, 95014


AI/ML - Full-Stack Engineering Manager, Engineering Efficiency

Santa Clara Valley (Cupertino) , California , United States

Software and Services


Posted: Nov 19, 2020

Role Number: 200208332

Imagine your future at Apple: You are empowered to bring your ideas to life to build extraordinary products, services, and customer experiences. Your passion and dedication will propel you to great achievements at the company, where innovation and problem solving is rewarded handsomely. Join the Artificial Intelligence and Machine Learning (AI/ML) team to create the next generation tooling platform that unlocks new ways of developing, testing and releasing software. What could you do if you combined the power of AI, ML and the best developer tooling on the planet? Come share your ideas with us! The Engineering Efficiency team is looking for an experienced manager to help drive the product vision for our internal development tooling. As a member of the team you will work across the company to set the future product and technical direction for our stack which drives productivity across Siri and the larger AI/ML team. This role has you supporting engineers working on all of Apple's platforms (e.g. iOS, macOS, tvOS, watchOS). This situates you to learn a broad range of the technology stack with a particular emphasis on AI/ML. You will change the way developers work, making it more efficient, higher quality, and ultimately better for the billions of people who use Apple software. You will be part of a global team playing a part in ensuring the quality and delivery of groundbreaking technology for large scale systems, natural language, big data, and artificial intelligence to end users. You will be interacting with various teams of cross functional engineering and project management to help identify issues and design systems to ensure frictionless delivery of features to users. Work with the people who created the intelligent assistant that helps millions of people get things done - just by asking.

Key Qualifications

  • 5+ years of experience building, managing, and leading highly skilled teams of engineers
  • 5+ years of hands-on experience architecting, designing and developing software systems such as Continuous Integration, Engineering Efficiency tools or using big data technologies such as solr, kafka or HBase
  • Broad knowledge of computer science and systems; ability to quickly learn new domains
  • Enthusiastically initiates, develops, and maintains effective working relationships
  • Excellent analytical, comprehension, communication, writing, and consultative skills, Innovative in proposing solutions
  • Deep knowledge of cloud-based infrastructure and platform services
  • Ability to drive cultural change around craftsmanship and code hygiene
  • Experience managing the product roadmap and vision for a developer experience


Apple is hiring a Technical Leader for our Engineering Efficiency team. We're looking to drive a generational change in the way we make our engineers productive and create a step function improvement in the developer experience within AI/ML. You'll be leading a team to define the future product roadmap and technical vision for the developer experience. Listen to our customers to deeply understand their needs, and drive discussions within our team and across Apple to create an experience that surprises and delights. AI/ML has a unique development skillset that needs us to reduce the complexity and drive a solution that works across Machine Learning, Client and Server development.

Education & Experience

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


See job description


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