Machine Learning Engineer I

Warner Media, LLC

New York, New York, United States

New York, New York, United States

À propos

Machine Learning Engineer I 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. The role involves working on production ML systems with measurable product impact, collaborating with cross‑functional teams of engineers, data scientists, product managers, and editorial staff.
Responsibilities
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
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
Benefits and Compensation Pay Range: $99,400.00 – $184,600.00 per year. Other rewards may include annual bonuses, short‑ and long‑term incentives, and program‑specific awards. In addition, the company provides health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time, and vacation.
Equal Opportunity Statement Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds, and experiences. We are an equal opportunity employer and consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, and other protected categories. If you require accommodations during the recruitment process, please visit the accessibility page for instructions.
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New York, New York, United States

Compétences linguistiques

English

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