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Machine Translation Quality Engineering Manager

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Description

Would you like to play a critical part in the next revolution of human-computer interaction? The Apple Machine Translation team is building groundbreaking technology that enables connecting people across language barriers. We are looking for an experienced Quality Engineering Manager to lead the QE team owning the test strategy for Apple’s Translation and Machine Intelligence products.

Apple's Machine Translation is embedded into several products across the iOS, iPadOS, macOS and watchOS ecosystems: from Live Translation and Translate App that is used to communicate across different languages, to Safari full webpage translation, to system-wide translation that allows you to quickly translate any highlighted text into numerous languages.

In this role, you’ll be directly responsible for defining Machine Translation’s test strategy, qualifying the client, server, and model releases. You’ll work closely with client engineering, cross-functional partners, and stakeholders to deliver the automation and test processes needed to ensure we deliver highest-quality translation services.

Minimum Qualifications

  • 5+ years of quality/test engineering experience, at least two of which in a lead or management role
  • Proven track record of driving test strategy and delivering comprehensive test coverage for mission-critical SDKs, APIs, and applications
  • Excellent written and verbal communication skills
  • Creative thinking and strong problem solving with meticulous attention to detail
  • Proficiency with Apple operating systems, including iOS, macOS, tvOS, visionOS, and watchOS

Preferred Qualifications

  • Deep understanding of development lifecycles, testing methodologies, QA processes
  • Excellent communication skills are a requirement due to the high level of interaction with engineering teams, management, and other organizations within Apple
  • Demonstrated experience leveraging Generative AI to create and optimize testing products and automation
  • Familiarity with scripting languages (e.g., Python) for test automation and data analysis

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