Applied AIML Engineering Manager

San Francisco Bay Area, California, United States Machine Learning and AI

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.

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.

• Lead, mentor, and grow a high-performing team of AIML engineers, fostering a culture of innovation and collaboration
• Drive team goals, priorities, and career development, including recruitment and onboarding
• Oversee the technical strategy, design, and full AIML lifecycle of scalable, robust models and systems
• Manage timelines, resources, and deliverables, ensuring projects are completed on time, within scope, and communicated to stakeholder teams
• Collaborate with product managers, data scientists, and other engineering teams to translate business requirements into technical specifications and deliver impactful, practical solutions, increasing internal adoption of AIML products and democratizing data
• Stay abreast of the latest advancements in AIML research and technologies, evaluating and integrating new approaches where appropriate
• Champion best practices in software engineering, MLOps, code quality, testing, documentation, and ensure compliance with data privacy and security.

• 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

• 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

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.

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