Disney Entertainment Television

Lead Machine Learning Engineer

New York, NY, US$179,700-$225,000Posted 4 months ago

Job Description

This is not a remote role. You must be in the local area or willing to relocate.

Department/Group Overview

The cross-media measurement and advanced analytics organization is responsible for data strategy & management, cross-platform content measurement, Content marketing measurement, and linear and digital inventory forecasting. The team provides advanced analytics and actionable insights related to Disney entertainment's content, monetization, and audience development.

The Data and Analytics Operations team is part of the Cross-Media

Measurement and Advanced Analytics organization (CMMAA)

. Reporting to the Executive Director of Data and Analytics Operations, this team leverages advanced machine learning techniques to deliver a robust suite of analytics solutions. Their portfolio includes descriptive, predictive, and prescriptive analytics, underpinned by strong data management practices and an interoperability layer. These capabilities are structured to support a range of business goals, such as content production, marketing and monetization.

Job Summary

The Lead Machine Learning Engineer is a senior individual contributor who provides technical leadership for complex machine learning systems and the data foundations required to operate them. This role applies machine learning techniques in code (e.g., supervised/unsupervised learning, deep learning/neural networks where appropriate, and advanced modeling approaches) to build predictive systems at scale for identity, audience, and cross-platform measurement. The position also leads architecture and standards for ML pipelines that capture, manage, store, and utilize large-scale structured and unstructured data, ensuring data integrity, interoperability, and reliability across production environments.

Responsibilities and Duties of the Role

* Lead development, training, and deployment of advanced ML models for identity resolution, look-alike modeling, and cross-platform m...

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