Senior Machine Learning Engineer – Personalization

Machine Learning Engineer developing and scaling personalization models for Warner Bros. Discovery's streaming apps.

Posted 6/2/2026full-timeSan Francisco • California, Washington • 🇺🇸 United StatesSenior💰 $132,300 - $245,700 per yearWebsite

Tools & technologies

AWSAzureCloudGoGoogle Cloud PlatformJavaJenkinsPythonSQL

Key responsibilities & impact

Architect, build and scale a recommendation system that powers the state-of-the-art personalization experience to users across Max, HBO, Discovery+ and other WBD offerings
Collaborate with ML/Ops engineers to develop and improve core components, infrastructure and architecture to train, deploy and serve models at scale
Collaborate with other data scientists, engineers, product teams and other key stakeholders and drive ML projects from conception to completion
Author, test, review, and optimize production-level code in Python, Go and Java while executing best practices in version control and code integration
Use and build upon open-source cloud computing technologies
Participate and support engineering leaders in strategic planning and demonstrate good judgment in setting and delivering against strategic goals for the team
Mentor, influence engineers across organizations and lead by example with high quality examples of your work at the organization level
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

What you’ll need

4+ years of industry experience in Machine Learning
3+ years leading organization wide projects with multiple stakeholders
Deep practical knowledge of modern machine learning lifecycle
Deep practical knowledge of large-scale recommender systems, or large-scale ML ranking/retrieval/targeting systems and familiarity with A/B Tests and hypothesis testing is preferred
Experience with design, implementation, and performance tuning of ML models
4+ years of programming experience in at least one of the following: Python/Java/Go
Deep practical knowledge of large-scale recommender models and systems , or large-scale ML ranking/retrieval/targeting systems
Experience with one of the cloud platforms AWS/GCP/Azure
Good practical knowledge of SQL and relational databases
Experience with CI/CD tools like GitHub Actions, Jenkins, etc.
Excellent written and verbal communications skills, be comfortable presenting to large audiences
Advanced degree (M.S.), or equivalent industry experience in statistics, computer science, machine learning or related fields.

Comp & perks