Machine Learning Engineering Manager, Proactive - On device modeling

In this role you will have the opportunity to lead a team of applied ML engineers to develop LLMs and other NLP models for improving Siri's ability to understand personal domain questions and power intelligent search of on-device content. Our team owns models and engineering systems responsible for query understanding of users' questions about their personal content, with a focus on on-device models and systems that put user privacy and efficiency at the forefront. Our solutions integrate with other Siri and Search capabilities to enable powerful user experiences. - Lead a team of applied ML engineers to develop on device models and solutions that power query understanding and personal search - Contribute to research, design, implementation, and evaluation of models and systems to enhance quality and performance - Establish target quality metrics and evaluation sets for the team to track and improve. Guide the team to design novel experiments to validate/refute hypotheses and support team wide decision making. - Collaborate with partner teams to define product requirements and priorities, and to explore opportunities for enhancements to the personal search stack. - Develop long-term technical vision for on device model and personal search quality; identify problem areas and integrate solutions as part of a larger roadmap. 6+ years industry experience in Machine Learning, NLP, AI and applying these techniques for production applications 2+ years industry experience with technical leadership or management roles Deep understanding of ML fundamentals including neural network architectures, transformers, attention mechanisms, and inference optimization Strong software engineering fundamentals with expertise in systems design, API architecture, and distributed systems Experience using ML frameworks (pyTorch, JAX, TensorFlow, XGBoost etc.) Strong communication skills Prior experience in building on-device AI models and deploying them in production Advanced degree (Master’s or Ph.D.) in Computer Science, Statistics, or related field, or equivalent industry work experience

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