Senior Machine Learning Engineer

The Walt Disney Company

Hybrid

Quick summary

Work type
Hybrid
Location
New York, NYSanta Monica, CA
Salary
$148,700–$199,400 / yr
Posted
5 days ago
Closes
Dec 31, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $225k
This role $174k
$134k most similar roles pay here $287k

This role pays less than 87% of similar roles. Most pay $198,800–$250,250 — the shaded band above. At the midpoint, this role pays about $174k versus about $225k 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 186 open roles on FindRole.

Listed pay typically runs $148,300–$198,800 across 183 roles with salary data.

Most-posted roles

View all roles at The Walt Disney Company

At a glance

TL;DR · Senior Machine Learning Engineer

As a Senior Machine Learning Engineer at Disney Streaming, you will join a dynamic team focused on enhancing user experience through personalized content recommendations. Your role involves developing and maintaining cutting-edge machine learning algorithms for recommendation systems across platforms like Disney+ and Hulu, ensuring these models are scalable and efficient to handle petabyte-scale datasets. You’ll collaborate closely with product and engineering teams to identify new personalization opportunities, develop ETL pipelines using tools such as Airflow and Jenkins, and deploy full-stack ML solutions leveraging technologies like Databricks and Spark. Essential skills include expertise in Python, SQL, deep learning methods, and strong communication abilities to explain complex methodologies to both technical and non-technical stakeholders.

What you'll do

  • Develop and maintain algorithms for personalization and recommendation systems.
  • Lead the research, development, and production of new recommendation features.
  • Coordinate with Product, Engineering, and Editorial teams to manage expectations.
  • Optimize operational processes and explore innovative machine learning techniques.
  • Deploy scalable streaming and batch data pipelines for petabyte-scale datasets.

What we're looking for

  • 5+ years of experience developing machine learning models and large-scale data analysis
  • In-depth understanding of modern machine learning methods including deep learning
  • Experience deploying and maintaining big-data solutions using technologies like Databricks, S3, and Spark
  • Ability to develop algorithms for deployment in production systems and maintain scalable code (Python, SQL)
  • Strong written and verbal communication skills for explaining methodologies to technical and non-technical teams

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