ML Engineer II - Personalization & Recommendations

CNN; New York (NY); On-site; USD 112,000 - 208,000; Full time

Benefits offered by this job

Health insurance

Wellness program

Life and disability insurance

Retirement savings plan

Paid holidays

Sick time and vacation

Job summary

CNN Digital 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.

This role emphasizes rigorous experimentation, scalability, and reliable deployment, with

Qualifications

• MS or PhD in CS, Math, Stats, Eng or related field.
• 2+ years of professional ML in production.
• Strong Python programming with ML frameworks (scikit-learn or similar).
• Experience across data preprocessing, feature engineering, model training, evaluation and deployment.
• Software engineering practices including version control, testing, and CI/CD.
• Ability to collaborate with cross-functional partners.
• Strong communication to explain technical concepts to non-technical stakeholders.

Responsibilities

• Build and deploy full-lifecycle ML systems in Python for CNN digital products.
• Develop and maintain production ML pipelines with feature engineering and serving infra.
• Implement rigorous experimentation and A/B testing to validate models.
• Optimize ML systems for real-time, web-scale performance serving millions of users.
• Partner with platform and infra teams to ensure reliability and scalability.
• Contribute to code reviews, documentation, and team knowledge sharing.

Skills

Python

SQL

CI/CD

Education

MS or PhD in Computer Science, Mathematics, Statistics, Engineering, or related field

Tools

Git

MLflow or similar MLOps tools

Job description

CNN Digital 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.

This role emphasizes rigorous experimentation, scalability, and reliable deployment, with