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
- 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
- Experience with streaming and event-driven systems
- Proficiency in Go and/or Python.
- Experience with Snowflake, DynamoDB and Open Search.
Responsibilities
- 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.
- Partner with ML engineers, platform engineers and product teams to discover data needs, build reliable data pipelines and deliver high-quality data products.
- Dynamically deliver personalized content alongside cached assets, improving load times and enhancing user experience with features like page-level deduplication
Other
- 10+ years of experience
- Comfortable working cross functionally.
- Passion for data quality and reliability; comfort owning systems end-to-end in a fast-moving environment.
- Championing Inclusion at WBD, being an equal opportunity employer
- Compliance with local law, disclosing compensation or a range thereof for roles in locations where legally required
