What are the responsibilities and job description for the Manager, Machine Learning Engineering position at Apple?
Summary
Posted:
Weekly Hours: 40
Role Number:200591495
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. Join us in shaping the future of AppleCare through pioneering ML technologies and transformative solutions.
Description
Lead a dynamic cross-functional team in developing and validating innovative machine learning solutions for AppleCare. You will 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.
Key responsibilities:
Develop and drive strategic direction for ML rapid prototyping initiatives, evaluating emerging technologies including generative AI and knowledge graphs
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
Minimum Qualifications
- 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 (particularly GenAI)
- Proficiency in modern ML frameworks and tools (e.g., PyTorch, TensorFlow, Hugging Face)
- Experience leading cross-functional technical teams
Key Qualifications
Preferred Qualifications
- Master's degree or Ph.D. in Computer Science, Machine Learning, or related field
- Strong understanding of ML operations, including model development, evaluation, and deployment
- Outstanding project and program management capabilities
- Track record of building strong partnerships with business collaborators
- Exceptional communication skills with ability to translate complex ML concepts for various audiences
- Results-driven with excellent analytical and problem-solving abilities
- Experience with large-scale ML deployments in customer service environments
- Deep understanding of responsible AI practices and model governance frameworks
Education & Experience
Additional Requirements
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
