AIML - Manager, Engineering Program Management - ML Lifecycle

$200,400 - $301,400/Yr

Apple - Cupertino, CA

Full-time - Manager

Cupertino, CA

Computer and Electronic Product Manufacturing

About the position

The Machine Learning Platform & Technology (MLPT) team at Apple is seeking a Manager, Engineering Program Manager to oversee the end-to-end machine learning lifecycle. This role involves managing the development, deployment, monitoring, and maintenance of machine learning models, ensuring cross-functional collaboration and efficient project execution across multiple teams. The successful candidate will drive the ML Lifecycle roadmap and partner with engineering teams to deliver high-quality machine learning solutions.

Responsibilities

• Establish cross-functional partnerships with ML partners to understand their use cases and improve the ease of use of compute services.
• Collaborate with Apple's AIML engineering teams to define a partnership strategy across the entire ML ecosystem.
• Design efficient technologies to accelerate the ML lifecycle in collaboration with engineering teams and developers.
• Serve as a trusted advisor to customers, understanding their needs and delivering low-cost, high-performance solutions.
• Translate product/program requirements into technical use cases to enable risk mitigation for engineering execution.
• Define new computing modalities using resources native to the cloud and take that vision to market.
• Drive the complete product life cycle from idea to development to go-to-market within Apple.
• Support Engineering with use cases, platform architecture, software stack, and total solution value proposition for ML Compute needs.
• Interact with external ML Compute vendors to ensure product success.
• Ensure the program meets all specifications and key metrics.
• Translate customer feedback and market dynamics into potential changes for a differentiated product roadmap.

Requirements

• 10+ years of program management experience, with at least 5 years leading complex, technical programs in machine learning or data-driven environments.
• Strong understanding of the end-to-end machine learning lifecycle, including MLOps tools and techniques.
• Proven experience leading cross-functional teams and large-scale projects in Data, ML/AI or software engineering contexts.
• Excellent communication and partner management skills, with the ability to translate technical concepts into business impacts.
• Demonstrated problem-solving and risk management abilities, with experience in agile methodologies.
• Ability to drive initiatives in fast-paced environments, balancing competing priorities and managing ambiguity.
• Excellent interpersonal skills, including the ability to explain sophisticated technical topics to non-experts.

Nice-to-haves

• Familiarity or experience with MLOps frameworks and tools (e.g., Kubernetes, MLflow, Weights and Biases, vertex AI).
• Familiarity with cloud-based ML platforms (AWS, GCP, Azure) and model deployment strategies.
• Background in Data, AI/ML, data science, or software development.
• Strong desire to learn and skills for problem solving.
• Proficiency in multitasking and leading sophisticated programs with a track record in launching outstanding platforms to market.
• Experience in leading and scaling a team of product/program managers.

Benefits

• Comprehensive medical and dental coverage
• Retirement benefits
• Discounted products and free services
• Reimbursement for certain educational expenses, including tuition
• Discretionary bonuses or commission payments
• Relocation assistance
• Participation in Apple's discretionary employee stock programs