Manager, Machine Learning Engineering
Description For Manager, Machine Learning Engineering
At Apple, groundbreaking ideas transform into revolutionary products, services, and customer experiences. The AppleCare Technologies Engineering team is pioneering the future of customer support through advanced machine learning solutions. We're seeking a visionary Engineering Manager to lead our Machine Learning Rapid Prototyping team, where you'll drive innovation at the intersection of AI and customer experience.
As the Manager of Machine Learning Engineering, you will lead a dynamic cross-functional team in developing and validating innovative machine learning solutions for AppleCare. You'll oversee rapid prototyping initiatives, evaluate emerging ML technologies, and transform complex business challenges into feasible solutions while maintaining Apple's high standards for quality and innovation.
The role combines technical leadership with strategic vision, requiring expertise in machine learning, particularly in generative AI and knowledge graphs. You'll be responsible for driving ML rapid prototyping initiatives, leading cross-functional teams, and ensuring successful transition of validated solutions into production.
This position offers the opportunity to shape the future of AppleCare through pioneering ML technologies and transformative solutions. You'll work with cutting-edge technologies, collaborate with talented teams, and have a direct impact on Apple's customer support experience. The ideal candidate brings both technical depth in ML/AI and strong leadership capabilities, with a track record of delivering innovative solutions in a fast-paced environment.
Join us in revolutionizing customer support through advanced machine learning solutions, working with state-of-the-art technology, and leading a team of talented professionals in creating the next generation of AI-powered customer experiences.
Responsibilities For Manager, Machine Learning Engineering
- Develop and drive strategic direction for ML rapid prototyping initiatives
- Lead and inspire a cross-functional team of ML engineers, data scientists, data engineers, QA specialists, and engineering project managers
- Partner with business collaborators to identify, prioritize, and validate ML opportunities
- Champion ML standard methodologies including responsible AI development, model governance, and quality assurance
- Oversee the full lifecycle of ML proof-of-concepts, from ideation through validation and handoff
- Collaborate with engineering teams to ensure successful transition of validated solutions into production
- Communicate ML initiatives, outcomes, and insights to senior leadership
- Engage as a key member of the AppleCare Technologies Engineering Leadership team
Requirements For Manager, Machine Learning Engineering
- BSc in Computer Science, Machine Learning, or related field
- Proven experience leading ML/AI initiatives and teams in a fast-paced environment
- Technical expertise in machine learning, particularly in generative AI, traditional ML, and knowledge graphs
- Experience managing rapid prototyping and proof-of-concept development in ML/AI
- Proficiency in modern ML frameworks and tools (e.g., PyTorch, TensorFlow, Hugging Face)
- Experience leading cross-functional technical teams
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