Machine Learning Engineer

What you'll do

• Research emerging fraud and abuse patterns to develop new detection approaches.
• Build next-generation ML products for identity, behavior, and transaction fraud.
• Optimize real-time, low-latency ML infrastructure for reliability and scalability.
• Build and maintain pipelines for training, evaluation, and inference of ML models.
• Write clean, maintainable, and well-tested code following production engineering best practices.
• Monitor and troubleshoot production ML systems and data pipelines.
• Partner with customers to understand their needs and shape product direction.

What we're looking for

• Bachelor’s degree in a related field.
• 2+ years of relevant experience.
• Proven experience in ML model development and deployment.
• Strong knowledge of statistics, optimization, probability theory, and experimental methodologies.
• Proficiency in programming languages such as Python, R, or Java.
• Experience with ML frameworks/libraries like TensorFlow, PyTorch, or scikit-learn.
• Familiarity with cloud platforms and scalable computing resources.
• Authorization to work for any employer in the U.S.