Machine Learning Engineer II, CNN Digital Products and Services

Warner Bros. Entertainment Inc. • $112K — $208K *
Atlanta, GA 30349In-Person
Media
Less than 5 years of experience
1 month ago
Job Overview by Ladders

Qualifications

  • Graduate degree (MS or PhD) in a quantitative field
  • 2+ years in production machine learning
  • Strong Python and ML frameworks experience
  • Full ML lifecycle expertise from data to deployment
  • Solid software engineering practices knowledge
  • Effective collaboration with cross-functional teams
  • Strong communication to convey technical ideas clearly

Responsibilities

  • Build and deploy full-lifecycle ML systems in Python
  • Develop and maintain production ML pipelines
  • Implement rigorous A/B testing for model validation
  • Optimize ML systems for real-time web performance
  • Partner with infrastructure teams for reliability and scalability
  • Contribute to code reviews and documentation

Benefits

  • Collaborative team environment with cross-functional exposure
  • Opportunity to work on high-impact digital products
  • Access to cutting-edge machine learning technologies
  • Engagement with industry leaders in media and AI
  • Growth potential in a well-known global organization
Full Job Description
Your New Role...

CNN is seeking a Machine Learning Engineer II to build and deploy ML systems that power personalization, search, recommendations, and content understanding for millions of users across CNN's digital platforms. You will work on production ML systems with measurable product impact, collaborating with cross-functional teams of engineers, data scientists, product managers, and editorial staff.

Your Role Accountabilities...
  • 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


Qualifications & Experience...

Required Qualifications:
  • 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
  • Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders

Preferred Experience:
  • Experience working on large-scale consumer internet products (e.g., social, streaming, e-commerce, media)
  • Hands-on experience with recommendation systems, search, NLP, or information retrieval
  • Familiarity with data pipelines, feature stores, or embedding infrastructure
  • Experience with experimentation platforms, A/B testing, and experimentation analysis
  • Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes)
  • Interest in generative AI applications and/or the media and news industry

Technical Skills:
  • Languages: Python (required), SQL
  • ML Frameworks: scikit-learn or similar
  • Tools: Git, MLflow or similar MLOps tools
  • Data: Experience working with large datasets, distributed processing, and feature engineering
  • Deployment: REST APIs, model serving, monitoring, and observability

About Warner Bros. Entertainment Inc.

Warner Bros. Interactive Entertainment is an American video game publisher based in Burbank, California, and part of the newly-formed Global Streaming and Interactive Entertainment unit of Warner Bros. Discovery. WBIE was founded on January 14, 2004 under Warner Bros. and transferred to the Home Entertainment division when that company was formed in October 2005. WBIE manages the wholly owned game development studios TT Games, Rocksteady Studios, NetherRealm Studios, Monolith Productions, WB Games Boston, Avalanche Software, and WB Games Montréal, among others.
Learn more about Warner Bros. Entertainment Inc.
Industry
Media
Founded
1918
* Ladders Estimates

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