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# Machine Learning Engineer II

- **Company:** PAUL ANDREW WARNER II
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Salary:** $135,310.0 - $251,290.0
- **Contract:** Franchise
- **Skills:** Java (Programming Language), A/B Testing, Computer Programming, Data Intelligence, Python (Programming Language), Machine Learning, Performance Tuning, Recommender Systems, SQL Databases, Information Technology, Machine Learning Operations, Software Version Control
- **Published:** September 4, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/27992585/Machine-Learning-Engineer-Ii-California-San-Francisco-1379

## About the Role

We are looking for a passionate Machine Learning engineer to support, build and scale the personalization and search platforms for the global streaming app HBO Max as well as ongoing and future streaming initiatives. You are excited about working in a fast-moving environment that fosters engineering and operational excellence with continuous development, deployment, experimentation, quality assurance, and collaboration. You will bring an obsession with our customers along with skills for rapid feature iteration. In your role, you will be working in a team of passionate machine engineers and applied researchers contributing to a system that serves 100+ million users worldwide., * 2+ years of industry experience

 * Deep practical knowledge of modern machine learning lifecycle.

 * Practical knowledge of large-scale recommender systems, or large-scale ML ranking/retrieval/search systems and familiarity with A/B Tests.

 * Experience building large-scale ML systems in production

 * Strong programming skills in Python (Java/Go a plus)

 * Solid understanding of data fundamentals (SQL, pipelines, feature stores)

 * Excellent communication skills and ability to work cross-functionally

 * Advanced degree (M.S.), or equivalent industry experience in statistics, computer science, machine learning or related fields

## Description

* Contribute to building and scaling a recommendation system that powers a state-of-the-art personalization experience to users across HBO Max, Discovery+ and other WBD offerings

 * Contribute on building machine learning systems and operations for personalization.

 * Collaborate with applied science engineers to improve quality, stability, resilience of search and personalization platforms

 * Drive observability, scalability, cost-optimization, and performance tuning and other improvements to recommendations services and models

 * Collaborate with platform, content, user data and product partners as HBO Max expands to new markets around the globe

 * Author, test, review, and optimize production-level code while executing best practices in version control and code integration.

 * Motivate, inspire and create a culture of experimentation and data-driven innovation while constantly striving to be an advocate for doing what is right for our customers

 * Contribute technical documentation to support knowledge transfer and sharing

 * Troubleshoot issues in recommendation systems as front-line support


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