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Apple AI/ML - ML Data Product Manager, ML Platform & Technology in Seattle, Washington

AI/ML - ML Data Product Manager, ML Platform & Technology

Seattle,Washington,United States

Machine Learning and AI

  • 3+ years in a role leading cross-functional teams in product development (e.g. Product/Program/Project Management, or Business Analysis)

  • Proven track record of delivering large-scale data processing and data analytics tools, including storage, annotation platforms, data processing pipelines, large-scale and high-throughput backend services, and/or user-facing applications that use those services

  • Passionate about delivering the best user experience to internal users by actively surveying user needs and translating requirements into a feature roadmap

  • Ability to use data and metrics to back up assumptions, make recommendations and drive actions

  • Self-motivated, independent, and proactive; demonstrated creative and critical thinking capabilities; can quickly (real-time) triage, prioritize, and lead cross-functional teams under pressure

  • Outstanding communication and presentation abilities, written and verbal

  • Innate drive to improve how things work, with a track record of driving improvements for team quality, performance, agility, or effectiveness

Description

Build the right scalable and flexible privacy-preserving data platform to empower Apple development teams to effectively collect, store, analyze, and curate data for Machine Learning. This includes defining roadmaps, planning, and execution. Proactively identify use cases from internal partners and define feature requirements and product specs. Work with cross-functional partners and partners to establish roadmaps, and process and feedback loops to continuously improve products Come up with product metrics to measure the success of our data platform in relation to overall MLPT product goals Build relationships across Apple organization and facilitate communication between cross-divisional groups to ensure our tooling and processes are driving MLPT Data product improvement Be the driver, evangelist, problem-solver, and leader who helps our engineering and operations team gather and use data that makes Apple’s MLPT platform the world’s best for machine learning while aligning with our strong privacy guarantees to our users

Education & Experience

Additional Requirements

    • Experience with the data collection, storage, and annotation methods for Machine Learning products is a huge plus
    • Experience with Spark, SQL, Python, R, or other advanced analytical tools is a plus!
    • Experience using OKRs to drive product outcomes
  • Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.

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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 (Opens in a new window) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .

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Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .

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