Machine Learning Engineer II, CNN Digital Products and Services

Warner Bros. Discovery

. Build and deploy full-lifecycle machine learning systems in Python for CNN digital products, including personalization, search, recommendations, and content understanding .

Posted 5/8/2026full-timeNew York City • New York • 🇺🇸 United StatesJuniorMid-Level💰 $112,000 - $208,000 per yearWebsite

Tech Stack

Tools & technologies

PythonScikit-Learn

About the role

Key responsibilities & impact

Build and deploy full-lifecycle machine learning systems in Python for CNN digital products, including personalization, search, recommendations, and content understanding
Develop and maintain production ML pipelines, including feature engineering, model training, evaluation, and serving infrastructure
Implement rigorous experimentation and A/B testing frameworks to validate model performance and product impact
Optimize ML systems for real-time, web-scale performance serving millions of users
Partner with platform and infrastructure teams to ensure ML systems meet reliability, scalability, and performance standards
Contribute to code reviews, documentation, and team knowledge sharing

Requirements

What you’ll need

Graduate degree (MS or PhD) in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field
2+ years of professional experience building and deploying machine learning systems in production environments
Strong Python programming skills and experience with machine learning frameworks (e.g., scikit-learn or similar)
Experience across the full ML lifecycle, including data preprocessing, feature engineering, model training, evaluation, and deployment
Solid understanding of software engineering best practices, including version control, testing, and CI/CD
Ability to collaborate effectively with cross-functional partners

Benefits

Comp & perks

health insurance coverage
employee wellness program
life and disability insurance
retirement savings plan
paid holidays and sick time
vacation

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

Pythonmachine learningfeature engineeringmodel trainingmodel evaluationA/B testingreal-time performance optimizationproduction ML pipelinessoftware engineering best practicesCI/CD

Soft Skills

collaborationcommunicationteam knowledge sharing

Certifications

graduate degreeMSPhD