Roles & Responsibilities
- We are looking for a passionate Staff Machine Learning engineer to support, build and scale the personalization and search platforms for the global streaming app Max as well as ongoing and future streaming initiatives. You are excited about working in a quick-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.
- Contribute to building and scaling a recommendation system that powers a state-of-the-art personalization experience to users across Max, Discovery+ and other WBD offerings
- Contribute on building machine learning systems and operations for personalization.
- Collaborate with applied data 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 Max expands to new markets around the globe
- Author, test, review, and optimize production-level code in Java, Go and Python 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