Senior Machine Learning Engineer Fraud Detection

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.

• 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 based on feedback and evolving evasion tactics.

• Experience: You bring 5+ years of hands-on experience in ML engineering with a track record in fraud or anomaly detection systems ideally in online consumer facing products and services.
• Technical Skills: Expert in Python and frameworks like TensorFlow PyTorch or XGBoost with proficiency in MLOps tools such as MLflow Docker and cloud services like AWS SageMaker Databricks MLFlow etc. Experience with cloud computing infra and tooling such as AWS/GCP.
• Cross-Functional Collaborations: Experienced in working with data scientists engineers and product teams to deploy models that support business goals like revenue optimization.
• Communication Skills: Strong ability to document technical processes and explain algorithm decisions to diverse stakeholders for seamless integration.
• Education Background: Possess a master's degree in computer science machine learning or a related quantitative field with certifications in cloud ML being a plus.
• Communication Skills: Excellent verbal and written communication skills with the ability to convey complex technical concepts to non-technical stakeholders.

Educational Background: Graduate degree (MS or PhD) in Computer Science Statistics or a related field.

Our team is composed of passionate Machine Learning Engineers and Data Scientists who have already made a significant impact across our product offerings content strategy and user engagement metrics. As we expand our scope our team is poised to become the cornerstone of innovation and growth across various business verticals within the company. We are dedicated to leveraging advanced machine learning techniques to continue transforming how users interact with and enjoy our offering of video contents and all other services.

In addition to getting to work with fun passionate and inspired colleagues you will also enjoy the following benefits and perks:

#LifeAtCrunchyroll #LI-Hybrid

What We Do

At Crunchyroll we deliver what anime fans love—anytime anywhere. With the world’s largest anime streaming library we connect fans to the stories characters and creators they love. But Crunchyroll is more than just a destination to watch anime—it's a global ecosystem where anime lives and breathes beyond the screen. From streaming and theatrical releases to merch games news events and music we offer fans immersive experiences that celebrate anime culture in all its forms. Headquartered in the U.S. with teams and reach across the globe Crunchyroll is an independently operated joint venture between Sony Pictures Entertainment and Aniplex of Japan. This unique partnership gives us the power to scale globally while staying rooted in anime’s cultural origins ensuring authenticity and access for fans everywhere. We believe anime is more than entertainment—it’s a way of life. And we’re here to champion that passion every day.

Why Work With Us

We take the People Experience seriously here at Crunchyroll. Join a diverse team of talented ambitious people who treat each other well and believe that how we win is just as important as winning.

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