Manager, Machine Learning Engineering – Ad Platforms

The Walt Disney Company

. Lead, mentor, and guide Data Scientists, Machine Learning, and AI engineers .

Posted 10/6/2026full-timeUnited StatesSeniorLead💰 $171,600 - $241,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading and mentoring teams of Data Scientists and AI engineers while driving the development of scalable machine learning solutions. Proficient in deploying ML systems using cloud platforms and MLOps practices, ensuring responsible AI practices and effective communication with stakeholders.

Highest-signal resume keywords

Machine Learning FundamentalsPython ProgrammingTensorFlow FrameworkMLOps PracticesPeople Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningStatistical ModelingModel DevelopmentAlgorithm SelectionModel OptimizationData CollectionModel DeploymentPrompt EngineeringLarge-Scale Data Systems

Soft Skills

LeadershipCollaborationCommunicationMentoringInnovation

Tools & Technologies

Cloud PlatformsMLOps PipelinesPyTorch FrameworkJAX FrameworkHugging Face

Industry Keywords

Ad TechAI EthicsResponsible AIFairnessExplainability

Tech Stack

Tools & technologies

CloudDistributed SystemsJavaPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Lead, mentor, and guide Data Scientists, Machine Learning, and AI engineers
Build scalable solutions, including model architecture and algorithm selection
Improve designs for scalable, clean, and decoupled implementations
Drive best practices in model development, code quality, testing, and documentation
Define strategic direction for machine learning projects with product and engineering stakeholders
Oversee end-to-end machine learning workflows, including data collection, model development, deployment, and modeling
Foster innovation through new ML techniques, tools, and technologies
Communicate strategies, progress, and results to leadership and cross-functional teams
Ensure responsible AI practices, including fairness, explainability, privacy, and ethical compliance
Develop organizational partnerships to identify and prioritize high-impact ML opportunities
Participate in on-call rotations 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
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
Strong understanding of machine learning fundamentals, deep learning, and statistical modeling
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
Domain knowledge in the Ad Tech industry preferred
Experience with large-scale data and distributed systems preferred
Knowledge of cloud platforms and MLOps pipelines preferred
Track record of innovation and contributions to the ML/AI community preferred

Benefits

Comp & perks

Medical, financial, and/or other benefits
Bonus and/or long-term incentive units may be provided
Primarily on-site / occasionally from home work arrangement