# Senior Machine Learning Engineer

Hiring organization: [Warner Bros. Discovery](https://career.thegoodapps.co/organizations/warner-bros-discovery)

Canonical page: https://career.thegoodapps.co/jobs/4192c65a-440f-422a-baae-a90f8f1d1ede

Listed on Warner Bros. Discovery's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Senior

## Summary

Warner Bros. Discovery seeks a senior machine learning engineer to design and own production ML systems powering identity resolution, audience targeting, and personalization across their streaming platforms. This role bridges technical leadership and hands-on modeling work, requiring someone comfortable mentoring globally distributed teams while driving architectural decisions for flagship products serving hundreds of millions of viewers.

_Our summary, not Warner Bros. Discovery's wording._

## Skills named

A/B Testing, Amazon Web Services (AWS), Cursor AI, Databricks, GitHub Copilot, LangChain, LangGraph, MLflow, PySpark, Python, Snowflake, SQL, XGBoost

## Required

- 5–8 years of ML engineering or applied data science experience (or 3+ years with PhD)
- Track record of leading projects to production
- Deep Python expertise and strong software engineering practices
- Production experience with ML at scale (millions+ of users/records)
- Strong proficiency in Databricks including PySpark, Delta Lake, Workflows/DLT, MLflow, and Unity Catalog
- Solid SQL and Snowflake experience for feature sourcing and model delivery
- Experience with AWS ML services (SageMaker, S3, Lambda)
- Strong understanding of ML model evaluation, A/B testing, and statistical/causal inference
- Depth in at least one of: recommendations and ranking, identity resolution, embeddings/retrieval, forecasting, or optimization
- Demonstrated technical leadership driving architectural decisions and mentoring engineers
- Bachelor's or Master's degree in Computer Science, Statistics, Engineering, or related quantitative field (or equivalent experience)
- Excellent written and verbal communication

## Nice to have

- Experience with recommendation systems, personalization, identity resolution, or audience modeling in media/streaming/ad-tech
- Experience with two-tower and retrieval architectures, probabilistic identity resolution, or Data Clean Room ML
- Experience architecting or standardizing ML platform components used across teams
- Hands-on experience with agentic AI frameworks (LangChain, LangGraph, AutoGen, MCP), Databricks Genie Spaces, or Snowflake Cortex
- Experience with feature stores (Databricks Feature Store, Tecton, Feast)
- Open source contributions or ML publications
- Experience mentoring globally distributed teams

Apply on Warner Bros. Discovery's site: https://warnerbros.wd5.myworkdayjobs.com/en-US/global/job/CA-San-Francisco-153-Kearny-Street/Senior-Machine-Learning-Engineer_R000107057