Job Details

Weekly Hours: 40

Role Number: 200627770-3401

Summary

Services at Apple help hundreds of millions of customers get the most out of the devices they love through amazing apps, award-winning shows and movies, immersive music in spatial audio, world-class workouts and meditations, super fun games and more! The Services Data Science & Analytics organization is passionate about developing discerning insights and AIML solutions to help continually improve these services and accelerate growth while maintaining a strong dedication to customer privacy.

We are currently seeking an experienced and passionate Applied AIML Engineering Manager to lead a dynamic team, whose goal is to help optimize customer-facing features at scale through use of Generative AI and other privacy-preserving predictive models centered around customer state changes, engagement, and other forms of personalization. As a key member of our diverse organization, you'll have the rare and rewarding opportunity to work with server-side and on-device datasets of unique magnitude, richness, and dedication to privacy that will frequently require innovative approaches. You'll work alongside partners across Business, Marketing, Product, Finance, and Engineering daily to deliver material customer and business value.

Description

As an Applied AIML Engineering Manager, you will have the responsibility of leading a highly talented team of engineers dedicated to pushing the boundaries of how AI and ML can be leveraged to better serve our customers, focusing on Services such as Apple TV, Apple Music, Apple Arcade, Apple One, and the App Store. You will be at the forefront of designing, developing, and deploying cutting-edge AIML solutions, including via Generative AI, that directly impact our products and provide a granular understanding of customer preferences and user value drivers. You will also be instrumental in defining the technical vision, strategy, and execution roadmap for our AIML initiatives, ensuring that we deliver high-quality, scalable, and impactful models that solve complex customer acquisition and engagement challenges. Beyond technical leadership, you will be a key driver in fostering a vibrant culture of AIML innovation, continuous learning, and collaborative problem-solving within your team.

Minimum Qualifications

• Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Engineering, or a related technical field

• 3+ years of experience in a leadership or management role, leading Machine Learning Engineers and Software Engineers

• 5+ years of experience in a machine learning or software engineering role

• Familiarity with emerging AIML technologies including Generative AI and AI Agents

• Proven track record of successfully delivering complex AIML projects from conception to production

• Deep understanding of machine learning algorithms, deep learning frameworks, and statistical modeling

• Proficiency in programming languages such as Python, SQL, Java, or C++ Experience with cloud platforms, Spark, Docker, and MLOps tools and best practices

• Strong understanding of data structures, algorithms, and distributed systems

• Excellent communication, collaboration, and presentation skills with meticulous attention to detail

Preferred Qualifications

• PhD in related field

• Hands-on experience leveraging Generative AI to improve customer-facing experiences, preferably for an internet technology company

• Curious business attitude with an ability to condense complex concepts and models into clear and concise takeaways that drive action

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $198,300 and $342,800, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. (https://www.apple.com/careers/us/benefits.html)

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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) .