Siri - Software Development Engineer In Test, Machine Learning Systems

Seattle, Washington, United States
Machine Learning and AI

Summary

Posted:
Weekly Hours: 40
Role Number:200141629
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? Drive 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 — just by asking. Join the Siri QE team at Apple! The Software Development Engineer, Machine Learning Systems, will design and develop a testing methodology to integrate machine learned components with software releases. This person will implement key deliverables in the automation roadmap for Siri Assistant, ML/NL, and Intelligence features.

Key Qualifications

  • 5+ years of professional work experience as a Software Development Engineer with exposure to AI or ML based systems, search, or data engineering projects
  • Ideal candidate has experience with test infrastructure, quality tools and automation, and system integration testing
  • Knowledge of statistics based testing approaches
  • Experience working with large scale server software features, detailed test planning, design, and execution
  • Advanced programming skills in Java, Python, or OO language such as C++, Python, Obj-C or Swift
  • Familiarity with current in distributed computing and data processing technologies
  • Working experience with various logging and analytics frameworks
  • Strong communication and organizational skills
  • Experience working on large cross-functional teams
  • Experience building machine learning systems and neural networks(Desirable)

Description

Siri QE is searching for a talented Software Development Engineer to partner with Siri ML Engineering teams to define new approaches to testing machine learning integrations. This role will focus on developing solutions for statistics-based testing, model dependency testing, and reporting accurate ML test coverage. As Siri's architecture and features evolve, the test infrastructure must continually adapt. 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 in Computer Science or related field

Additional Requirements