Lead Machine Learning Engineer

The Walt Disney Company

Quick summary

Work type
On-site
Location
New York, NY
Salary
$179,700–$225,000 / yr
Posted
15 days ago
Closes
Jul 4, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $217k
This role $202k
$161k most similar roles pay here $273k

This role pays less than 62% of similar roles. Most pay $184,787–$249,750 — the shaded band above. At the midpoint, this role pays about $202k versus about $217k for comparable roles.

Based on 240 similar postings.

Employer

About The Walt Disney Company

The Walt Disney Company is a diversified global entertainment and media enterprise operating in segments including Disney Parks, Experiences and Products; Entertainment (ABC, Hulu, Disney+); and ESPN. Industry: Entertainment & Media

The Walt Disney Company currently has 154 open roles on FindRole.

Listed pay typically runs $141,900–$190,300 across 150 roles with salary data.

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View all roles at The Walt Disney Company

At a glance

TL;DR · Lead Machine Learning Engineer

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The Lead Machine Learning Engineer role at Disney’s Cross-Media Measurement and Advanced Analytics organization is a senior position responsible for technical leadership in developing complex machine learning systems. This individual will build predictive models for identity resolution, audience measurement, and cross-platform analytics using advanced techniques like deep learning and genAI. Key responsibilities include architecting scalable ML platforms, ensuring data integrity across Snowflake and Databricks, and implementing robust MLOps practices such as CI/CD pipelines and model versioning. The ideal candidate has 7+ years of experience delivering production ML systems, strong coding skills in Python and SQL, and hands-on expertise with cloud-native data platforms and container orchestration tools like Docker and Kubernetes. Experience in media or advertising technology is preferred, along with familiarity with modern MLOps stacks such as MLflow and Kubeflow.

Skills

Python SQL Kubernetes Docker Snowflake Databricks Spark PyTorch MLflow Kubeflow Vertex_AI SageMaker CI/CD MLOps Prometheus Grafana Apache_Kafka Pub/Sub Amazon_Kinesis PostgreSQL

What you'll do

  • Lead development and deployment of advanced ML models for identity resolution and cross-platform measurement.
  • Architect scalable ML platforms and reusable components for distributed cloud environments.
  • Define data contracts and automated quality controls to maintain data integrity across sources.
  • Establish CI/CD patterns, model versioning practices, and monitoring dashboards for production health.
  • Mentor engineers through code/design reviews and build shared libraries to improve team velocity.
  • Ensure privacy-by-design practices and compliance with GDPR/CCPA in ML workflows.
  • Lead technical initiatives and influence architecture standards across multi-quarter projects.

What we're looking for

  • 7+ years of professional experience delivering production ML systems at scale
  • Strong coding skills in Python and SQL with software engineering discipline
  • Hands-on expertise with cloud-native data platforms and container orchestration
  • Proven ability to lead technical initiatives and influence architecture standards
  • Experience applying advanced ML techniques, including deep learning, in code
  • Must have strong production experience with deep-learning systems (PyTorch) and real-time data pipelines
  • Strong understanding of modern MLOps stacks and model governance practices

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