If you’re passionate about building intelligent systems and applying machine learning to solve real-world challenges, CNN has an exciting opportunity for you. CNN is hiring a Machine Learning Engineer I in New York City, offering a competitive salary ranging from $99,000 to $184,000 per year. This role is ideal for engineers who enjoy working with data, developing scalable ML solutions, and contributing to innovative products in a fast-paced media and technology environment.
Job Overview
| Field | Details |
|---|---|
| Company Name | CNN |
| Role | Machine Learning Engineer I |
| Qualification | Bachelor’s degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related technical field (relevant experience may also be considered) |
| Job Location | New York City, New York, USA |
| Salary | $99,000–$184,000 per year |
| Work Type | Hybrid |
| Job Type | Full-Time |
| Job Level | Entry Level / Early Career |
| Industry | Media, Entertainment, Technology |
Job Description
CNN is seeking a Machine Learning Engineer I 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
- 1+ 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
Selection Process
- Submit an online application.
- Resume and application review.
- Initial recruiter screening.
- Technical interview and coding assessment.
- Hiring manager and team interviews.
- Final interview (if required).
- Offer discussion and background verification.
How to Apply
- Visit the official CNN Careers website.
- Search for Machine Learning Engineer I – New York City.
- Review the complete job description and eligibility requirements.
- Prepare and upload your updated resume.
- Complete the online application form.
- Submit your application and monitor your email for updates from the recruitment team.
