AIML - Manager, Engineering Program Management - ML Lifecycle

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger.
$200,400 - $301,400
Machine Learning
Principal Software Engineer
In-Person
5,000+ Employees
10+ years of experience
AI · Enterprise SaaS

Description For AIML - Manager, Engineering Program Management - ML Lifecycle

Apple's AIML team is seeking a Manager, Engineering Program Manager for its ML Lifecycle Platform. This role involves overseeing the end-to-end machine learning lifecycle across multiple teams, managing activities from data acquisition to post-deployment monitoring. The position requires driving cross-functional collaboration, ensuring efficient project execution, and delivering high-quality machine learning models. Key responsibilities include:

  • Establishing partnerships with ML partners to understand use cases and improve compute services
  • Collaborating with AIML engineering teams to define partnership strategies across the ML ecosystem
  • Acting as a trusted advisor to customers, delivering low-cost, high-performance solutions
  • Translating product requirements into technical use cases and creating partnership roadmaps
  • Driving complete product lifecycle from idea to development to go-to-market
  • Supporting Engineering with use cases, platform architecture, and software stack
  • Interacting with external ML Compute vendors
  • Ensuring programs meet specifications and key metrics
  • Translating customer feedback into potential product roadmap changes

The ideal candidate will have 10+ years of program management experience, strong understanding of the ML lifecycle, excellent communication skills, and the ability to lead cross-functional teams in a fast-paced environment.

Last updated 4 minutes ago

Responsibilities For AIML - Manager, Engineering Program Management - ML Lifecycle

  • Lead and oversee end-to-end machine learning lifecycle across multiple teams
  • Establish cross-functional partnerships with ML partners
  • Collaborate with AIML engineering teams to define partnership strategies
  • Translate product/program requirements to technical use cases
  • Drive complete product life cycle from idea to development to go-to-market
  • Support Engineering with use cases, platform architecture, and software stack
  • Interact with external ML Compute vendors
  • Ensure programs meet all specifications and key metrics
  • Translate customer feedback into potential product roadmap changes

Requirements For AIML - Manager, Engineering Program Management - ML Lifecycle

Kubernetes
  • 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
  • Excellent communication and partner management skills
  • Demonstrated problem-solving and risk management abilities
  • Ability to drive initiatives in fast-paced environments
  • Excellent interpersonal skills including ability to explain sophisticated technical topics to non-experts

Benefits For AIML - Manager, Engineering Program Management - ML Lifecycle

Medical Insurance
Dental Insurance
401k
Equity
Education Budget
Relocation Benefits
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Education reimbursement for career advancement
  • Discretionary restricted stock unit awards
  • Employee Stock Purchase Plan
  • Potential discretionary bonuses or commission payments
  • Relocation assistance (if eligible)

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