Manager, Machine Learning Engineering – Ad Platforms

The Walt Disney Company

Senior Manager Machine Learning overseeing AI/ML solutions for Disney's Ad Platforms. Leading and mentoring a team to advance innovation in advertising technology at scale.

Posted 6/3/2026full-timeSeattle • California, Washington • 🇺🇸 United StatesSeniorLead💰 $171,600 - $241,000 per yearWebsite

Tech Stack

Tools & technologies

CloudJavaPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Lead, mentor and guide Data Scientists, Machine Learning and AI engineers to build solutions adhering to industry best practices and deliver scalable solutions including model architecture and algorithm selection
Lead by example and always strive to improve the design for more scalable, cleaner, and decoupled implementations
Drive adoption of best practices in model development, code quality, testing, and documentation
Solid understanding and usage of automated tools (AI) while adhering to company policy
Define strategic direction for machine learning projects and collaborate with product and engineering stakeholders
Oversee end-2-end machine learning workflow, including data collection, model development, deployment and modeling
Foster innovation by exploring new ML techniques, tools, and technologies
Communicate strategies, progress, and results to leadership and cross-functional teams
Ensure responsible AI practices, including fairness, explainability, and compliance with privacy and ethical standards
Develop partnerships across the organization to identify and prioritize high-impact ML opportunities
Available for On-Call rotations based on the team’s escalation policy and support schedule for ML/AI solutions

Requirements

What you’ll need

Bachelor's or master's degree in computer science, Engineering, Mathematics, Statistics, or a related field
8+ years of relevant industry experience, with at least 2-3 years in a people-management or technical leadership role
Proven ability to translate business problems into scalable ML and GenAI solutions and strong understanding of machine learning fundamentals, deep learning, and statistical modeling
Proven experience designing, building, and deploying scalable machine learning models and systems in production
Experience deploying ML/GenAI systems at scale using cloud platforms and MLOps practices
Advanced programming proficiency (e.g., Python, Java, or similar); experience with ML/DL frameworks (e.g., TensorFlow, PyTorch, JAX, Hugging Face)
Experience building, fine-tuning, evaluating, and deploying LLM-based systems (e.g., RAG, prompt engineering, model optimization)
Demonstrated ability to lead global teams and collaborate across organizational boundaries.

Benefits

Comp & perks

A bonus and/or long-term incentive units may be provided as part of the compensation package
Full range of medical, financial, and/or other benefits

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningdeep learningstatistical modelingmodel architecturealgorithm selectionMLOpsprogramming (Python, Java)TensorFlowPyTorchJAX

Soft Skills

leadershipmentoringcommunicationcollaborationinnovationstrategic directionproblem-solvingcode qualitydocumentationresponsible AI practices