As an Engineering Manager based in Yokohama you will lead a small team of highly skilled engineers building scalable systems and frameworks for end-to-end (E2E) evaluation of Apple Intelligence products such as Siri. Your work will be critical in validating the performance and reliability of unreleased software and models ensuring that Siri and Apple Intelligence continues to set the standard for intelligent voice assistants. You will collaborate closely with teams across Apple Intelligence Siri Machine Learning QA and Product to define evaluation strategies integrate evaluation pipelines and drive improvements in user experience. Your leadership will help shape the technical vision for the team while fostering a culture of collaboration innovation and technical role requires a hands-on leader who is comfortable contributing to the codebase and actively supporting the team with technical expertise in addition to managing day-to-day operations and strategic initiatives.
10 years of professional software engineering experience and 2 years in a leadership role managing high-performing teams.
Strong programming background in Python Swift or similar languages with a focus on Machine Learning test automation or data tooling.
Demonstrated experience designing and scaling systems for software validation quality assessment or ML model evaluation.
Bachelors degree in Computer Science Engineering or a related technical field.
Experience working on voice assistants NLP systems or real-time AI-powered applications.
Experience in Large Language Models usage and benchmarking.
Proven success collaborating with globally distributed teams in a fast-paced cross-functional environment.
Masters degree or higher in Computer Science Machine Learning or a related discipline.
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