Senior ML Platform Engineer: Personalization & Search

Warner Bros.; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

Warner Bros. Discovery's CNN AI Enablement team is accelerating our digital transformation through strategic applications of machine learning and AI technologies.

Our current products include personalized content recommendations, contextual ad targeting, and site search that serve millions of CNN users on web and mobile. In the next quarter we will launch summarization and classification features with chat, and early next year we will continue expanding the platform, tackling testing of content

Qualifications

• Bachelor’s degree in computer science or a related technical field.
• Proficiency in Python and one or more of Golang, Java, or C++.
• Related professional or industry experience.

Responsibilities

• Promote an inclusive and supportive engineering culture on the team.
• Solve business problems with simple and straightforward solutions.
• Strive for operational excellence—building highly available, low‑latency, efficient software with support from other engineers.
• Build subject matter expertise related to multiple production systems.
• Communicate effectively through progress updates, timely support requests, demos, and technical documentation.
• Author, test, review, and optimize production‑quality code, following best practices for IaC, version control, and continuous delivery.
• Be passionate about software engineering with a strong sense of responsibility for the code you and your team write, delivering high‑quality results that improve with each iteration.
• Embrace failure as a learning opportunity—use research and experimentation to choose the best solutions that meet business goals, moving autonomously from proof‑of‑concept to production release.

Skills

Python

Golang

Java

C++

Education

Bachelor's degree in computer science or related technical field

Job description

Warner Bros. Discovery's CNN AI Enablement team is accelerating our digital transformation through strategic applications of machine learning and AI technologies.

Our current products include personalized content recommendations, contextual ad targeting, and site search that serve millions of CNN users on web and mobile. In the next quarter we will launch summarization and classification features with chat, and early next year we will continue expanding the platform, tackling testing of content