Sr Software Engineer- Machine Learning

$132,300 - $245,700/Yr

Spectrum - Bellevue, WA

Full-time - Mid Level

Bellevue, WA

Telecommunications

About the position

The Senior Software Engineer - Machine Learning at Warner Bros. Discovery will play a crucial role in supporting, building, and scaling the personalization and search platforms for the global streaming app Max. This position is designed for a passionate engineer who thrives in a fast-paced environment, focusing on engineering excellence, continuous development, and collaboration. The role involves working with a team dedicated to enhancing user experience for over 100 million users worldwide through innovative machine learning solutions.

Responsibilities

• Contribute to building and scaling a recommendation system for a state-of-the-art personalization experience across Max, Discovery+, and other WBD offerings.
• Build machine learning systems and operations for personalization.
• Collaborate with applied data science engineers to enhance the quality, stability, and resilience of search and personalization platforms.
• Drive observability, scalability, cost-optimization, and performance tuning for recommendation services and models.
• Collaborate with platform, content, user data, and product partners as Max expands to new markets globally.
• Author, test, review, and optimize production-level code in Java, Go, and Python, adhering to best practices in version control and code integration.
• Motivate and inspire a culture of experimentation and data-driven innovation, advocating for customer-centric solutions.
• Contribute technical documentation to support knowledge transfer and sharing.
• Troubleshoot issues in recommendation systems as front-line support.

Requirements

• Proven experience in building and scaling machine learning systems.
• Strong programming skills in Java, Go, and Python.
• Experience with recommendation systems and personalization technologies.
• Ability to collaborate effectively with cross-functional teams.
• Strong problem-solving skills and a customer-focused mindset.

Nice-to-haves

• Experience with cloud platforms and services for machine learning.
• Familiarity with data science methodologies and practices.
• Knowledge of performance tuning and optimization techniques.

Benefits

• Career defining opportunities
• Thoughtfully curated benefits
• Tools for personal and professional growth