AIML - Sr Engineering Program Manager, Data

About the position

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. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. 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. Do you love taking on challenges that create a positive impact? Are you passionate about empowering many ground-breaking intelligent experiences to be made? We're looking for people like you! As part of Apple's AI and Machine Learning org, you will be developing new ML-powered sensing and intelligence capabilities for home, health, and more. This role will drive the collection of high-quality training data from consumer devices for a variety of ground-breaking use cases.

Responsibilities

• Program manage Research and Applied ML's data collections
• Work with modeling teams to determine data collection requirements
• Interface with data operations teams to ensure completion and quality of collection and annotation
• Collaborate with teams and be the expert for many aspects of data collections
• Ensure compliance with Apple's legal, user consent, privacy and security policies
• Drive the roadmap for shared tooling and infrastructure for data collections
• Find opportunities across modeling teams to share data and/or data collection efforts

Requirements

• 6+ years of experience in project or program management with prior experience in data collection for machine learning
• Excellent program management skills including program structuring and managing multiple work streams interdependently
• Strong analytical skills and obsession for data
• Demonstrated data-driven decision-making skills
• Strong verbal and written communication skills

Nice-to-haves

• Prior PM or engineering experience in shipping products driven by machine-learned systems to worldwide users
• BS, MS or PhD in a quantitative field (Statistics, Computer Science, etc.) or equivalent experience

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