December 12, 2024

AIML - ML Engineering Manager, Siri Attention and Invocation

Senior • On-site

$208,300 - $313,000/yr

Seattle, WA

Summary

Posted:
Role Number:200582928
Apple’s products feel magical when they do the right thing at the right time and place. The Siri Attention and Invocation team in Siri is responsible for building features like “Hey Siri”, “Siri”, and “Back-to-back requests” that allow users to communicate with Siri in a natural and personalized way. This is your chance as an outstanding engineering manager to join and lead an exceptional group of engineers who surprise and delight our millions of customers daily with natural conversations on the iPhone, Mac, Apple Watch, iPad, and more!

Description

You will lead a team that uses ML to push the boundaries of natural conversation with Siri so that Siri can respond to users when they want to interact with Siri without compromising on the promise of protecting user privacy. You will work with cross-functional partners to support new use cases, such as Apple Intelligence, and to evolve existing systems to support emerging capabilities in new products. You will lead the way in building ML models that support new user experiences, adopting automated processes for model training and deployment, and tracking offline/online metrics to ensure a great customer experience. ROLE OPPORTUNITIES Our team values creating and maintaining an inclusive environment, prioritizing learning and growth. You’ll learn to use new technologies, work with various cross-functional teams, and exercise your creativity to improve our team and products.

Minimum Qualifications

  • 5-7 years of practical experience in shipping ML features to a large customer base
  • 3+ years of experience with software engineering in production systems (working with Python or R and/or C/Objective-C/C++, Swift, or Rust)
  • 3+ of experience as a manager for a team responsible for shipping and maintaining user-facing ML features with cross-functional partners

Preferred Qualifications

  • MS in Computer Science, Computer Engineering, or Machine Learning
  • You are committed to helping others grow in their careers at Apple
  • Deep knowledge and hands-on experience with fundamental ML concepts in production systems
  • Excellent written and verbal communication skills, especially for project planning and cross-functional collaboration
  • Experience with large-scale deployments and tracking in production
  • Experience with language expansion

Pay & Benefits

  • At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $208,300 and $313,000, and your base pay will depend on your skills, qualifications, experience, and location.

    Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

    Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.