AIML - ML Engineering Manager, Siri Attention and Invocation

at  Apple

SUMMARY

Posted: Jan 2, 2025
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

Please refer the Job description for details