Head of ML Engineering – Ad Platforms

The Walt Disney Company; Beaverton (OR); On-site; USD 180,000 - 241,000; Full time

Benefits offered by this job

Medical benefits

Long-term incentive units

Bonus opportunities

Job summary

Disney Entertainment & Sports LLC is seeking a Manager of Machine Learning Engineering to lead ML/GenAI initiatives within Ad Platforms. You will mentor a global team, drive scalable model architectures, and collaborate closely with product engineering to ship impactful ML solutions.

The role emphasizes responsible AI, robust pipelines, and deployment at scale across multiple platforms, with strong emphasis on leadership and cross‑functional collaboration.

Qualifications

• Bachelor’s or master’s degree in computer science, engineering, mathematics, statistics, or a related field.
• 8+ years of industry experience with 2–3+ years in people management or tech leadership.
• Proven ability to translate business problems into scalable ML/GenAI solutions and strong ML fundamentals.

Responsibilities

• Lead, mentor, and guide Data Scientists, ML and AI engineers to build scalable solutions.
• Oversee end-to-end ML workflow including data collection, model development, deployment, and governance.
• Define strategic direction for ML projects and collaborate with stakeholders across product and engineering teams.
• Ensure responsible AI practices, including fairness, explainability, and privacy compliance.

Skills

Leadership

ML systems

GenAI

MLOps

Python

TensorFlow

PyTorch

JAX

Hugging Face

Education

Bachelor's or Master's in CS/Engineering/Math

Tools

TensorFlow

PyTorch

JAX

Hugging Face

Job description

Disney Entertainment & Sports LLC is seeking a Manager of Machine Learning Engineering to lead ML/GenAI initiatives within Ad Platforms. You will mentor a global team, drive scalable model architectures, and collaborate closely with product engineering to ship impactful ML solutions.

The role emphasizes responsible AI, robust pipelines, and deployment at scale across multiple platforms, with strong emphasis on leadership and cross‑functional collaboration.