Job Board
LogoLogo

Get Jobs Tailored to Your Resume

Filtr uses AI to scan 1000+ jobs and finds postings that perfectly matches your resume

CNN Logo

Staff Machine Learning Engineer

CNN

$145,600 - $270,400
Nov 8, 2025
New York, NY, United States of America
Apply Now

Warner Bros. Discovery is looking to solve the problem of accelerating its digital transformation through strategic applications of machine learning and AI technologies, specifically in the areas of content recommendations, contextual ad targeting, and site search.

Requirements

  • 5+ years of industry software engineering experience in one or more languages, preferably with extensive python experience
  • 3+ years experience developing and deploying AI/ML products or systems at multiple stages in the product cycle from ideation and proof of concept to deployment, monitoring, and iteration
  • Experience with NLP, information retrieval, or Recommendation Systems
  • Understanding of experimentation frameworks and A/B testing methodologies
  • Experience with data pipelines, feature stores, or embedding infrastructure
  • Background in media, publishing, or content recommendation systems
  • Machine learning, artificial intelligence, statistics, predictive analytics, research experience

Responsibilities

  • Design and deliver ML components within our services against product requirements
  • Implement model training processes on a schedule in production with monitoring and validation to assess model and system performance
  • Take full ownership of problems with ML scope - devise solutions based on limited information, adapt existing approaches, and use judgment to select the right course of action
  • Design components and systems architecture, driving technical decisions that create functional-level impact and deliver complex features in partnership with platform engineers
  • Author, test, review, and optimize production-quality code, following best practices including version control, and continuous delivery
  • Communicate effectively across different audiences - whether through technical documentation, code reviews, design reviews, or interactions with stakeholders and adjacent teams
  • Embrace failure as a learning opportunity - use research and experimentation to choose the best solutions that meet company goals, moving autonomously from proof-of-concept to production release

Other

  • Bachelor's Degree AND 5+ years of related experience or Master's Degree AND 3+ years of related experience, in Computer Science, Electrical or Computer Engineering, or related field
  • Ability to work in a team and collaborate with engineering leads on other teams to drive technical excellence, facilitate growth and promote an inclusive and supportive engineering culture
  • Strong sense of responsibility for the code you and your team write, delivering high-quality results that improve with each iteration
  • Ability to communicate effectively across different audiences
  • Ability to embrace failure as a learning opportunity and use research and experimentation to choose the best solutions