Senior Machine Learning Engineer, Recommendations

Crunchyroll, a fan-founded company, is seeking a Senior Machine Learning Engineer to join their Center for Data and Insights team. This role focuses on creating personalized content recommendations for tens of millions of customers worldwide. The main mission is to help customers discover content they'll love, from new simulcast shows to classic titles, and beyond into theatrical releases, merchandise, music, and games.

Key Responsibilities:

• Design and develop scalable architectures for the recommendation system
• Identify, collect, and preprocess data to build comprehensive user profiles and content attributes
• Experiment, train, and deploy machine learning models for personalized recommendations
• Implement systems to measure recommendation effectiveness and incorporate user feedback
• Ensure reliability, efficiency, and scalability of the recommendation system

Requirements:

• 5+ years of experience in designing and implementing large-scale recommendation systems
• Strong background in machine learning and recommendation system algorithms
• Proficiency in Python
• Experience with frameworks like TensorFlow, PyTorch, or similar
• Familiarity with GPU optimization and cloud computing platforms (AWS, Google Cloud, Azure)
• Ability to work with cross-functional teams and convey complex technical concepts to non-technical stakeholders

The role offers a greenfield opportunity to develop cutting-edge recommendation algorithms for a fast-growing global audience. You'll be part of a passionate team of Machine Learning Engineers and Data Scientists who have already made significant impacts across product offerings, content strategy, and user engagement metrics.

Crunchyroll offers a comprehensive benefits package, including flexible time off, health insurance, 401(k) with employer match, and various other perks. The company values courage, curiosity, service, and continuous improvement (Kaizen). They are committed to diversity and inclusion, operating as an equal opportunity employer.

This is a hybrid position requiring two days in the office per week (Tuesday/Thursday) in Culver City, California.