Lead Machine Learning Engineer

The Walt Disney Company

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
CA
Salary
$187,900–$252,000 / yr
Posted
60 days ago
Freshness
Confirmed live yesterday
Closes
Oct 10, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $225k
This role $220k
$175k most similar roles pay here $273k

This role pays less than 51% of similar roles. Most pay $194,850–$254,750 — the shaded band above. At the midpoint, this role pays about $220k 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 118 open roles on FindRole.

Listed pay typically runs $148,700–$199,400 across 118 roles with salary data.

Most-posted roles

View all roles at The Walt Disney Company

At a glance

TL;DR · Lead Machine Learning Engineer

Lead Machine Learning Engineer The Lead Machine Learning Engineer joins the Core ML team to ideate, develop, and productionize personalization algorithms across the recommendation stack for Disney+ and Hulu. This role involves building core ranking algorithms, content and user understanding models and graphs, candidate retrieval, and post-ranking systems. The engineer will apply modern AI and LLM techniques to improve recommendations and accelerate model development while designing rigorous offline and online experiments. Key responsibilities include developing maintainable production systems, defining data features, and shaping the technical vision for personalization. Candidates must possess expertise in recommendation systems, machine learning science, and engineering. Required skills include proficiency with PyTorch, TensorFlow, Databricks, Spark, and SQL. The role addresses the complex challenge of providing high-quality content recommendations to a massive streaming audience by bridging current recommendation systems with emerging AI technologies.

What you'll do

  • Develop and productionize personalization algorithms for ranking, candidate retrieval, and post-ranking systems.
  • Integrate modern AI and LLM techniques to improve recommendation quality and system evaluation.
  • Design and execute rigorous offline and online experiments to validate model performance.
  • Build maintainable, production-ready machine learning systems that are easy to iterate on at scale.
  • Contribute research insights on recommendation approaches, data features, and evaluation methodologies.
  • Drive the technical vision and innovation roadmap for Disney's personalization systems.
  • Translate complex technical methodologies into clear communications for both technical and non-technical stakeholders.

What we're looking for

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • At least 7 years of experience developing machine learning models and deploying them to production systems.
  • Strong background in applied ML science and end-to-end ML engineering, specifically with recommendation systems modeling.
  • Hands-on experience with AI and LLM techniques and a solid understanding of the modern AI landscape.
  • Proficiency with tools and frameworks including PyTorch, TensorFlow, Databricks, Spark, and SQL.
  • In-depth understanding of modern machine learning methods, models, and their mathematical underpinnings.
  • Strong written and verbal communication skills to collaborate with technical and non-technical audiences.
  • Experience in designing and running rigorous offline and online experiments for evaluation methodology.

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