Senior Machine Learning Engineer (Growth & ML)

Role Overview

The Senior Machine Learning Engineer will own the design and delivery of production ML systems that directly impact audience targeting, advertising revenue, subscriber engagement, and retention across WBD’s global portfolio.

What You Will Do

The role will involve leading technical execution on key workstreams, including probabilistic identity resolution, lookalike modeling, single-title affinity, and forecasting, while mentoring MLE 2s and collaborating closely with Staff MLEs and product stakeholders.

Why It Might Be a Fit

The ideal candidate will have 5–8 years of industry experience in ML engineering or applied data science, deep Python expertise, and production-quality software engineering practices.

Requirements

• 5–8 years of industry experience in ML engineering or applied data science
• Deep Python expertise and production-quality software engineering practices
• Production experience building and deploying ML at scale
• Strong proficiency in Databricks (PySpark, Delta Lake, Workflows/DLT, MLflow, Unity Catalog) and solid SQL/Snowflake experience
• Experience with AWS ML services (SageMaker, S3, Lambda)
• Strong understanding of ML model evaluation, A/B testing, and statistical inference
• Knowledge in one or more of recommendations & ranking, identity resolution, embeddings/retrieval, causal/interpretable ML, forecasting, bandits, or optimization
• Demonstrated ability to lead technical decisions and mentor engineers
• Bachelor’s or Master’s degree in Computer Science, Statistics, Engineering, or a related quantitative field (or equivalent experience)
• Excellent written and verbal communication

Benefits

• Fast track growth opportunities
• Equal opportunity employer
• A Great Place to work