Job Details

Manager, Machine Learning Engineering

Austin, Texas, United States

Support and Service

Summary

Posted: Mar 11, 2025

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

• 10+ years proven experience leading ML/AI initiatives and teams in a fast-paced environment

• 5+ years managing global teams

• 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

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

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.