Epm, Applied Machine Learning, AI & Data Platforms (aidp)

Apple Apple · Big Tech · Sunnyvale, CA · Corporate Functions

Engineering Program Manager for Apple's Applied Machine Learning (AML) team, focusing on fraud prevention within Wallet, Payments, and Commerce. This role involves product and project management, driving complex projects, and enhancing the AML platform by collaborating with various engineering and data science teams.

What you'd actually do

  1. partner with Wallet Payment and Commerce, Apple Services, and Data Science teams to manage programs focused on preventing fraud.
  2. working with various engineering teams to enhance the AML platform and develop new integrations.
  3. lead the team in delivering solutions that meets Apple’s business goals while maintaining the highest industry and Apple Information Technology standards.

Skills

Required

  • project management experience delivering projects
  • Knowledge of various project management methodologies e.g. Waterfall, Agile/Scrum
  • Bachelors Science Degree in Computer Science or foreign equivalent with 5+ years of experience

Nice to have

  • Bachelors Science Degree in Computer Science.
  • Masters in Business administration.
  • Project Management certification is a plus.
  • 5+ years of Technical Program Management/ Engineering Management experience.
  • Experience working with operations teams, vendors and contractors.
  • Demonstrated ability to build project summaries, roadmaps, creative concepts, impact analysis and prioritization in order to influence stakeholders.
  • Detailed knowledge and understanding of key architecture components of distributed computing systems, software development lifecycle including requirements analysis, design, development, testing and deployment.
  • Depth of technical understanding in cloud, big-data platforms and machine learning.
  • Proficient in Keynote or Powerpoint to effectively interact, influence and communicate at various levels of the organization.

What the JD emphasized

  • demanding timeframes
  • large, complex projects
  • highest industry and Apple Information Technology standards