EPM, Applied Machine Learning, AI & Data Platforms (AiDP)

Join Apple's AML Team as Engineering Program Manager. This role requires a combination of product and project management, strong engineering background, and the ability to build collaborative relationships across various teams in Apple. We are looking for someone who loves digging into details, driving operational efficiencies under demanding timeframes and driving large, complex projects. You will partner with Wallet Payment and Commerce, Apple Services, and Data Science teams to manage programs focused on preventing fraud. You would be working with various engineering teams to enhance the AML platform and develop new integrations. You would be expected to lead the team in delivering solutions that meets Apple’s business goals while maintaining the highest industry and Apple Information Technology standards.

3+ years of 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

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.

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Apple’s Applied Machine Learning team has built systems for a number of large-scale data science applications. We work on many high-impact projects that serve various Apple lines of business. We use the latest in open source technology and, as committers on some of these projects, we are pushing the envelope. Working with multiple lines of business, we manage many streams of Apple-scale data. We bring it all together and extract the value. We do all this with an exceptional group of software engineers, data scientists, dev-ops engineers and managers.

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 $141,800 and $258,600, 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

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

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

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Apple accepts applications to this posting on an ongoing basis.