Warner Bros. Discovery · 2 days ago
Senior Machine Learning Engineer
San Francisco, CA
Full-time
Onsite
Mid, Senior Level
$132K/yr - $246K/yr
3+ years expWarner Bros. Discovery is a leading media and entertainment company known for its iconic content and beloved brands. They are seeking a Senior Machine Learning Engineer to lead the development and deployment of scalable machine learning solutions for the Audience Intelligence team, focusing on user behavior modeling and predictive analytics.
AdvertisingBroadcastingDigital EntertainmentDigital MediaFilm ProductionMedia and EntertainmentNewsPublishing
Responsibilities
Model Development: Design and implement machine learning models for audience intelligence applications, including lookalike and predictive audience generation, user behavior modeling, ML forecasting, ML-based ID resolution, and ML-based user base characterization for HBO Max. Stay current with ML research, explore new methodologies, and contribute to the company’s research agenda through publications and open-source contributions when possible
End-to-End Model Delivery: Architect, build, and maintain complete ML pipelines from data ingestion and processing to model deployment and monitoring in production environments, ensuring robust delivery and operational excellence
Infrastructure & Automation: Develop robust, scalable infrastructure and automated workflows for ML training, evaluation, and deployment, using best practices in MLOps
Cross-Functional Collaboration: Work closely with product, engineering, and business stakeholders to translate requirements into effective ML solutions
Mentorship: Guide and mentor junior engineers and scientists, fostering a culture of knowledge sharing and technical excellence
Production Operations: Ensure robust model deployment, monitoring, and optimization to meet business requirements for latency, concurrency, and reliability
MLOps Governance & Compliance: Promote best practices around MLOps among broader data science groups to ensure consistent model quality and faster deployment cycles. Ensure end-to-end governance and compliance for ML systems by enabling model traceability (e.g., audit trails for model changes), enforcing data privacy standards and meeting regulatory requirements relevant to our industry
Qualification
Required
Education: PhD or MSc in Machine Learning, Computer Science, Data Science, or a closely related field
Experience: 3+ years of hands-on experience in machine learning engineering, including model development and production deployment
Technical Skills: Proficient in Python and ML frameworks such as PyTorch, TensorFlow, MLflow, and SageMaker
Technical Skills: Expert on SQL and large-scale data processing languages
Technical Skills: Proven track record of deploying ML models to production
Technical Skills: Familiarity with distributed computing systems (Spark, EMR)
Technical Skills: Experience with cloud platforms (AWS, Databricks, Snowflake)
Technical Skills: Strong computer science fundamentals, including data structures, algorithms, and system design
Mindset: Strong desire to learn new techniques and adapt to evolving business needs
Communication: Ability to clearly articulate ML concepts to diverse stakeholders
Preferred
Experience in AI/ML advertising solutions, marketing sciences, recommendations, search, ranking and personalization systems
Publications in top tier ML conferences or contributions to open-source projects
Experience with CI/CD, DevOps, and MLOps principles for building and deploying ML systems
Benefits
Health insurance coverage
An employee wellness program
Life and disability insurance
A retirement savings plan
Paid holidays and sick time
Vacation
Company
Warner Bros. Discovery
Warner Bros.
10001+ employees
H1B Sponsorship
Warner Bros. Discovery has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (32)
2024 (34)
2023 (47)
2022 (72)
2021 (82)
2020 (30)
Funding
Current Stage
Public CompanyTotal Funding
$17.5BKey Investors
JP Morgan
2025-12-05Acquired
2025-06-09Post Ipo Debt· $17.5B
2005-07-15IPO
Leadership Team
David Zaslav
President and CEO
Mark Thompson
CEO
Recent News
2026-01-11
2026-01-11
Business Insider
2026-01-11
Company data provided by crunchbase