Siri - Software Engineering Manager, Machine Learning Systems

Seattle, Washington, United States
Machine Learning and AI


Weekly Hours: 40
Role Number: 200008956
Would you like to play a part in ensuring the quality of groundbreaking technology for large scale systems, natural language, big data, and artificial intelligence? Lead the quality of the Siri user experience and work with the people who built the intelligent assistant that helps millions of people get things done. Join the Siri QE team at Apple! The Software Engineering Manager, Machine Learning Systems QE, will reinvent ML systems testing strategy and vision for Siri, leveraging new approaches to thoroughly test and validate integrations of machine-learned components.

Key Qualifications

  • 10+ years of professional experience or research in a related field
  • 5+ years of management experience
  • Experience with testing machine learning systems and neural networks
  • In-depth knowledge of statistics-based testing methodologies
  • Understanding of ML training pipelines and accuracy improvements of ML systems
  • Ability to develop a long term vision and execute strategies at scale
  • Programming in Java, Python, or other OO language
  • Strong verbal and written communication and organizational skills and ability to multi-task several projects
  • Self-motivated and dedicated with proven creative and critical thinking capabilities
  • Thrives on working in a fast-paced environment with rapidly changing priorities
  • Experience working in large cross-functional teams a big plus


The Siri ML-QE team is searching for a talented Software Engineering Manager to create new approaches for testing machine-learned components. This role will focus on creating an ML testing strategy that can adapt to Siri's evolving architecture and features. This role will collaborate daily with Apple ML teams, analyze results, and reach consensus. Design and develop new testing solutions to find regressions in ML models. As Siri's architecture and features evolve, the test infrastructure must continually adapt. A key deliverable of the role is a significant improvement in test failure actionability. This is a fast-paced role with high visibility, impact, and ensures we build the most advanced systems in the industry.

Education & Experience

BS/MS/PhD in Computer Science, AI/ML or related field

Additional Requirements