AIML - Sr Engineering Program Manager, FM Evaluation
: Job Details :

Seattle, Washington, United States

Machine Learning and AI

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. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something — you'll add something.

We're looking for a strong Engineering Program Manager with a proven track record of driving highly cross-functional projects dependent on innovative machine learning technologies. You will work with cross-functional software engineering teams to develop data collection and product evaluation strategies. These efforts are critical in driving quality improvement for products to over 1 billion customers; your role is essential to creating the highest quality user experience that Apple customers expect and love.

Description

• Create and manage project schedules with clear dependencies, critical path, and systematic methodology to communicate status. Manage risks and mitigations, and re-plan as events warrant. Drive alignment across the organization and between teams.
• Partner with cross-functional engineering teams to define human annotation requirements vital to launch and maintain premier Apple software products.
• Work with data science, data engineering, and research teams to develop data collection and evaluation solutions.
• Work with annotation operation teams to optimize and manage human data collection and evaluations efforts.
• Work with engineering, privacy, and legal teams to develop safe data collection.

Minimum Qualifications

• Bachelor's degree in a quantitative field (Statistics, Computer Science, etc.) or equivalent experience.
• 8+ years of experience managing large-scale, machine learning-powered product programs and delivering client/server software across large organizations (100+ people).
• Proven program management, analytical, and cross-functional leadership skills with experience driving data-driven decision-making and process improvement.
• Strong communication skills with expertise in negotiation, presentation, and influencing across teams.

Preferred Qualifications

• Master's or PhD degree in Statistics, Business Intelligence, Computer Science, other Quantitative Sciences, or related field and equivalent experience.
• 5+ years of experience managing a program management team in AI powered product space, preferably experience in evaluation of MLAI products.
• Self-sufficient in analyzing and drawing conclusions about the quality and product opportunity from raw and refined product data.
• Strong problem-solving skills with attention to details.

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 $157,000 and $278,900, 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 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.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.

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