Sr. Manager, Machine Learning Engineering

Disney Streaming

New York, NY, United States
Base: $217,300.00-$270,000.00; bonus/equity: may b...
Fully remote
Production ml systems at scale
Mlops practices
Data privacy regulations (gdpr, ccpa)
Lead delivery of machine learning systems for identity, audience modeling, and cross-platform measurement, ensuring ML techniques are applied in code and deployed as scalable, production-grade services

Job Summary

  • Lead delivery of machine learning systems for identity, audience modeling, and cross-platform measurement, ensuring ML techniques are applied in code and deployed as scalable, production-grade services.
  • Oversee ML data and feature foundations, designing and maintaining pipelines that capture, transform, and deliver structured and unstructured cross-media datasets, ensuring interoperability and data integrity.
  • Champion data privacy, governance, and compliance by enforcing GDPR/CCPA principles, PII safeguards, documentation, and audit readiness across ML workflows.

Matching Summary

Lead delivery of machine learning systems for identity, audience modeling, and cross-platform measurement, ensuring ML techniques are applied in code and deployed as scalable, production-grade services.

Salary

Base: $217,300.00-$270,000.00; Bonus/Equity: May be provided; Benefits: Full range of medical, financial, and other benefits

Skills & Requirements

Must-have

  • production ML systems at scale
  • MLOps practices
  • data privacy regulations (GDPR, CCPA)
  • Python and SQL proficiency
  • cloud-native data platforms
  • distributed processing
  • orchestration tools

Nice-to-have

  • media, advertising technology experience
  • real-time data pipelines
  • modern MLOps stacks
  • model governance practices
  • contributions to open-source projects

Key Requirements

  • 10+ years ML engineering/applied ML
  • 4+ years technical leadership
  • Knowledge of data privacy regulations
  • Proven experience applying ML techniques
  • Strong proficiency in Python and SQL
  • Hands-on cloud data platforms experience
  • Bachelor's degree in technical/science field

Work Rights

Not specified

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