Senior Machine Learning Engineer, Fraud Detection
$185k - $240k • Los Angeles, California, United States; San Francisco, CA, United States • Full-time
Posted 1y ago
This job has been open for more than 60 days. It may no longer be actively hiring, so check with the company before putting a lot into an application.
Job Location
Los Angeles, California, United States; San Francisco, CA, United States
Tech Stack
Remote Work Policy
On-site
Employment Type
Full-time
Categories
Machine Learning Engineer
About the job
Crunchyroll is seeking a Senior Machine Learning Engineer to join the Center for Data and Insights team. This role focuses on developing and deploying scalable machine learning models for fraud detection, specifically targeting account sharing. You will collaborate with data scientists, product analysts, and data engineers to translate research into production systems, aiming to improve detection accuracy and minimize user impact. This position is crucial for enhancing subscriber growth by implementing strategies proven by leading streaming services.
Responsibilities
- Design and implement machine learning algorithms, including anomaly detection, for real-time unauthorized account sharing identification.
- Develop end-to-end ML pipelines covering data preprocessing, model training, evaluation, and deployment on 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.
Requirements
- 8+ years of hands-on experience in ML engineering, with a focus on fraud or anomaly detection systems, preferably in online consumer-facing products.
- Expertise in Python and frameworks such as TensorFlow, PyTorch, or XGBoost.
- Proficiency in MLOps tools like MLflow, Docker, and cloud services (AWS SageMaker, Databricks MLFlow).
- Experience with cloud computing infrastructure and tooling (AWS/GCP).
- Experience collaborating with data scientists, engineers, and product teams to deploy models supporting business goals.
- Strong ability to document technical processes and explain algorithm decisions to diverse stakeholders.
- Master's degree in computer science, machine learning, or a related quantitative field.
- Excellent verbal and written communication skills.
Benefits
- Great compensation package including salary plus performance bonus earning potential.
- Flexible time off policies.
- Generous medical, dental, vision, STD, LTD, and life insurance.
- Health Saving Account (HSA) program.
- Health care and dependent care FSA.
- 401(k) plan with employer match.
- Employer paid commuter benefit.
- Support program for new parents.
- Pet insurance and pet-friendly offices.