Lead Machine Learning Engineer

The Walt Disney Company

Remote

Quick summary

Work type
Remote
Location
Glendale, CA · Santa Monica, CA · Seattle, WA
Salary
$171,600–$230,100 / yr
Posted
5 days ago
Closes
Jun 30, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $217k
This role $201k
$161k most similar roles pay here $273k

This role pays less than 63% of similar roles. Most pay $184,787–$249,750 — the shaded band above. At the midpoint, this role pays about $201k 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

As a Lead Machine Learning Engineer at Disney Entertainment and ESPN Product & Technology’s Ad Platform Engineering team in Glendale, California, you will lead the design and delivery of high-performance machine learning systems for real-time advertising solutions across platforms like Hulu, Disney+, and ESPN. Your daily responsibilities include applying modern ML techniques to solve complex problems, overseeing the full lifecycle of ML systems from experimentation to production, and ensuring these systems are scalable, reliable, and cost-efficient. You will work with cutting-edge technologies such as TensorFlow, PyTorch, and Hugging Face, while also building feature pipelines for real-time inference and offline training. This role requires a strong background in machine learning fundamentals, proficiency in Python, Java, and SQL, and experience operating ML systems in high-throughput environments. Ideal candidates will have expertise in digital video advertising or programmatic platforms, making this an exciting opportunity to drive innovation in the fast-paced world of digital entertainment advertising.

What you'll do

  • Lead the design and delivery of machine learning solutions for advertising use cases.
  • Apply modern ML techniques to solve complex real-time advertising problems.
  • Provide technical leadership for ML system architecture and production readiness.
  • Design, build, and scale ML architectures balancing model quality and cost efficiency.
  • Oversee full ML lifecycle from experimentation through production deployment.

What we're looking for

  • 7+ years of software engineering experience with a focus on machine learning
  • 5+ years of hands-on experience developing and deploying ML systems in production
  • Strong knowledge of machine learning fundamentals, mathematics, and statistics
  • Experience operating ML systems in low-latency, high-throughput environments
  • Proficiency in Python, Java, SQL, TensorFlow, PyTorch, and Hugging Face
  • Solid foundations in algorithms, data structures, numerical optimization, and cloud-native infrastructure
  • Ability to mentor engineers through code reviews, design discussions, and technical guidance

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