Apple · Seattle

AIML - Sr Engineering Program Manager, Data

(w/m/d) · 9.1.2025

Description

You will program manage Research and Applied ML’s data collections: - Working with modeling teams to determine data collection requirements - Interfacing with our data operations teams to ensure completion and quality of collection and annotation You will collaborate with teams and be the expert for many aspects of our data collections: - Data collection methodologies - Landscape of available data collection tools and infrastructure - Compliance with Apple’s legal, user consent, privacy and security policies as well as securing approvals - Data science to ensure sufficient representative data is collected - Interpreting evaluations and doing failure analysis on the collected data You will also be responsible for scaling and optimizing our data collection efforts as a whole: - Driving the roadmap for shared tooling and infrastructure for data collections - Finding opportunities across modeling teams to share data and/or data collection efforts

Qualifications

  • 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 with the capability to work across a large number of teams to enforce process and efficient outcomes in a data-driven environment
  • Strong analytical skills and obsession for data, solid understanding of metrics measuring machine learning models and overall system quality
  • Demonstrated data-driven decision-making skills, including experience leading metrics-driven projects or programs.
  • Strong verbal and written communication skills, including ability to independently draft and present deliverables, recommendations

Preferred Qualifications

  • 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

Application

View listing at origin and apply!