Warner Bros. Discovery (WBD) is looking to accelerate its digital transformation through strategic applications of machine learning and AI technologies. The AI Enablement & Machine Learning team at CNN is tasked with enhancing existing products like content recommendations and ad targeting, and developing new features such as summarization, classification, and chat functionalities to improve user experience and engagement across CNN's web and mobile platforms.
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
Responsibilities
- Design and deliver ML components within our services against product requirements—explore data, identify gaps, and prepare it for machine learning models.
- Implement model training processes on a schedule in production with monitoring and validation to assess model and system performance.
- Become a recognized subject matter expert related to one or more ML models.
- Collaborate with software and data engineers across the team as well as other teams throughout CNN.
- Support testing and adoption of various types of content summaries from multiple domains, which can be leveraged in consumer experiences along with embedding generation and classification.
- Explore options for incorporating additional user context in our personalized recommendations model such as geolocation, time of day and time of year
- Enhance data access and begin experimenting with bandits for online ranking of recommendations
Other
- Be passionate about ML engineering with a strong sense of responsibility for the code you and your team write, delivering high-quality results that improve with each iteration.
- 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
- Bachelor's Degree AND 5+ years of related experience.
- Background in media, publishing, or content recommendation
