Overview
On Site
USD 157,000.00 - 278,900.00 per year
Full Time
Skills
FM
Innovation
Machine Learning (ML)
Software Engineering
Quality Improvement
User Experience
Expect
Data Science
Data Engineering
Research
Evaluation
Management
Privacy
Legal
SAFE
Data Collection
Job Details
Summary
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.
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. You will work with data science, data engineering, annotation operations, and privacy to create a plan and execute on these requirements in a highly deadline driven environment. 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
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.
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. You will work with data science, data engineering, annotation operations, and privacy to create a plan and execute on these requirements in a highly deadline driven environment. 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
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