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# Senior Machine Learning Engineer, Fraud Detection

- **Company:** Ellation, Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Application Programming Interfaces (APIs), Algorithm Design, Amazon Web Services, Cloud Computing, Fraud Prevention and Detection, Python (Programming Language), Machine Learning, Cloud Services, Tensorflow, Data Streaming, Pytorch, Deep Learning, Information Technology, Xgboost, Machine Learning Operations, Drift Detection, Docker, Databricks
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25197_d9faf034e1718b47590bfe40253e6f23-2100007354

## About the Role

* Experience: You bring 8+ 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.

## Description

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., * 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., A disability is a condition that substantially limits one or more of your "major life activities." If you have or have ever had such a condition, you are a person with a disability. Disabilities include, but are not limited to:
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