Senior Machine Learning Engineer, Fraud Detection at crunchyrollcrunchyroll · Los Angeles, California, United States; San Francisco, CA, United States

Workplace: Hybrid, On-site

Posted: 2026-11-04

Skills: Python, AWS, DockerAbout Crunchyroll Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, it’s powered by the anime content we all love. Join our team, and help us shape the future of anime! About the role In the role of Senior Machine Learning Engineer, you will report to the Director of Data Science and Machine Learning in the Center for Data and Insights, working from Los Angeles or San Francisco area in California. In this Machine Learning Engineer role focused on Algorithm Development and End-to-End Production at our VOD streaming company, you will lead the creation and deployment of scalable ML models to detect account sharing fraud, drawing from user behavior data like geolocation, concurrent sessions, and device profiles. This position is essential for collaborating with data scientists, product analysts, and data engineers, translating research prototypes into production systems that enhance detection accuracy while minimizing user disruption, aligning with proven strategies from streaming giants to boost subscriber growth. We work a hybrid schedule, in-office three days a week; Tuesday, Wednesday, and Thursday. Core Areas of Responsibility Design and implement machine learning algorithms, including anomaly detection models, to identify unauthorized account sharing in real-time. Develop end-to-end ML pipelines for data preprocessing, model training, evaluation, and deployment using cloud platforms. Optimize models for performance, scalability, and efficiency to handle high-volume streaming data. Integrate ML solutions with existing systems via APIs and establish monitoring for model drift and retraining. Collaborate on A/B testing and iteration to refine algorithms bas…Sign in to see the original postingBrowse more developer jobs on RoleBurst