Machine Learning Engineer II

Job ID 10137022 Location New York, New York, United States Business Disney Entertainment Television Date posted Dec. 08, 2025

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Job Summary:

About the Role & Team

Disney Entertainment’s (DE) Cross-Media Measurement and Advanced Analytics organization drives data strategy, cross-platform content measurement, marketing effectiveness, and inventory forecasting. The team delivers advanced analytics and actionable insights to support content, monetization, and audience development.

The Data and Analytics Operations team, part of this organization, applies advanced machine learning techniques to deliver a suite of analytics solutions—descriptive, predictive, and prescriptive—built on strong data management and interoperability practices. These capabilities enable business goals across content production, marketing, and monetization.

What You Will Do

Reporting to the Executive Director of Data and Analytics Operations, the Machine Learning Engineer II is an individual contributor responsible for designing, developing, and deploying machine learning models. This hands-on role focuses on building scalable ML pipelines, writing production code, and operationalizing models that leverage cross-platform audience data. You will collaborate closely with product managers, data scientists, and platform engineers to construct, optimize, and deploy analytics systems.

Responsibilities

Data Pipeline Development: Build and optimize scalable pipelines using orchestration tools (Airflow/Dagster) to ingest, transform, and deliver cross-media datasets.
Feature Engineering & Data Prep: Create high-quality features from petabyte-scale data, manage metadata, and optimize storage/performance in Snowflake or Databricks.
Model Development: Design, train, and deploy ML models for audience identity, look-alike modeling, and cross-platform measurement; write clean, testable Python/SQL code and containerize workloads via Docker/Kubernetes.
MLOps & Monitoring: Implement CI/CD, model versioning, automated testing, and drift detection; build dashboards and alerts to ensure reliability and data quality in production.
Collaboration & Experimentation: Gather requirements, run experiments, and translate findings into actionable product enhancements for analytics, product, and editorial teams.
Compliance: Apply GDPR/CCPA principles, enforce PII safeguards, and maintain documentation for audit readiness.
Continuous Learning: Research emerging ML techniques, share best practices, and mentor junior engineers through code reviews and knowledge-sharing sessions.

Required Qualifications & Skills

3+ years of professional experience in machine learning engineering, delivering production-grade models or pipelines at scale.
Advanced coding skills in Python and SQL; familiarity with a strongly typed language and software engineering best practices (version control, CI/CD, unit testing).
Hands-on experience with cloud-native data platforms and distributed frameworks (BigQuery, Snowflake, Databricks) and orchestration tools (Airflow, Dagster).
Proven ability to build end-to-end ML workflows: feature engineering, model training, containerization, monitoring, and performance tuning.
Working knowledge of data privacy standards (GDPR, CCPA) and experience applying them to identity or audience datasets.
Strong collaboration skills with cross-functional teams and ability to translate technical findings into business insights.

Preferred Qualifications

3+ years of experience, ideally in media, ad tech, or cross-platform audience measurement.
Experience with deep learning, generative AI, or retrieval-augmented systems (PyTorch, vector databases) and real-time pipelines (Kafka, Pub/Sub, Kinesis).
Familiarity with modern MLOps stacks (MLflow, Kubeflow, Vertex AI, SageMaker) and model governance practices.
Relevant certifications (Google ML Engineer, AWS ML Specialty, or equivalent).
Contributions to open-source projects, conference presentations, or peer-reviewed publications.

Required Education

Bachelor’s degree in Computer Science, Data Science, Mathematics, or related technical field.

Preferred Education

Master’s or PhD in Applied Math, Computer Science, Computational Science, Operations Research, or Data Science.

The hiring range for this position in New York, NY is $123,000.00 - $165,000.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

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About Disney Entertainment Television:

Disney Entertainment Television is a collection of renowned content brands at The Walt Disney Company creating original entertainment and news programming for the company’s streaming platforms Disney+, Hulu and Star, and its broadcast and cable networks. Its extensive portfolio is comprised of ABC Entertainment, ABC News, ABC Owned Television Stations, Disney Branded Television, Freeform, FX, Hulu Originals, National Geographic Content and Onyx Collective, in addition to Disney Television Studios, which include 20th Television, 20th Television Animation, ABC Signature and Walt Disney Television Alternative. Responsible for over 4,500 hours of programming a year across more than 300 programs of all genres, Disney Entertainment Television’s creative brands are at the forefront of groundbreaking storytelling, captivating audiences and generating critical acclaim. In 2023, Disney Entertainment Television’s programming excellence earned 163 Emmy® nominations across daytime, primetime, news & documentary, and children’s & family categories.

About The Walt Disney Company:

The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.

This position is with American Broadcasting Companies, Inc., which is part of a business we call Disney Entertainment Television.

American Broadcasting Companies, Inc. is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world.

DISABILITY ACCOMMODATION FOR EMPLOYMENT APPLICATIONS

The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

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