Senior Data Engineer

About the Team

With deep domain expertise, advanced technical capabilities, and a proven track record of successful collaborations, the AI Enablement & Machine Learning team at CNN is accelerating our digital transformation through strategic applications of machine learning and AI technologies. Our current products include popular, related and personalized content recommendations, contextual ad targeting, and site search-serving millions of CNN users via CNN web and mobile apps.

Within the next quarter, we will be launching summarization and classification features with chat to follow early next year. We have a variety of specializations and collaborate closely, enhancing our platform and adding to the suite of machine learning features running on it.

• Machine learning engineers (MLEs) build models and features
• Data engineers fulfill the availability and latency requirements provided by MLEs
• Some software engineers partner with MLEs to operationalize and expose models and features
• Other software engineers focus on our ML platform and tooling, including A/B testing

• Content Summaries
  :
  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.
• Two-Tower Experimentation
  :
  Explore options for incorporating additional user context in our personalized recommendations model such as geolocation, time of day and time of year.
• All Access Search
  :
  Partner with teams across CNN to design and build a roadmap for CNN streaming content search.
• Bandit Foundation
  :
  Enhance data access and begin experimenting with bandits for online ranking of recommendations.
• Optimize Site Performance
  :
  Dynamically deliver personalized content alongside cached assets, improving load times and enhancing user experience with features like page-level deduplication.

As a Senior Staff Data Engineer, you will work across teams to design, build and operate the data foundations that power ML training, feature computation and real-time inference for our Machine Learning team. You will partner with ML engineers, platform engineers and product teams to discover data needs, build reliable data pipelines and deliver high-quality data products that empower and accelerate the team.

• Design and own data pipelines and products that support ML training, feature storage and inference.
• Model datasets and schemas optimized for ML features and real time (low latency) inference.
• Establish data quality, testing, and observability.
• Collaborate with stakeholders to translate requirements into durable data products and interfaces.
• Set engineering standards, review designs/code, mentor engineers, and lead cross-team initiatives.

• 10+ years building production data solutions. Strong SQL and data modeling.
• Expertise in modern data tools (Kafka, Airflow, Spark, etc.).
• Expertise with distributed systems and a strong understanding of the way data is modeled impacts what is possible.
• Proficiency in several programming languages.
• Passion for data quality and reliability; comfort owning systems end-to-end in a fast-moving environment.
• Comfortable working cross functionally.
• Experience with streaming and event-driven systems.

• Proficiency in Go and/or Python.
• Experience with Snowflake, Dynamo
  
  DB and Open Search.
• Cloud infrastructure & IaC experience, especially AWS & Terraform.
• ML platform tooling familiarity (e.g., Metaflow, Sage Maker).
• Experience with Experimentation and A/B Testing.

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.

If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.