Senior Machine Learning Engineer, Trust

📋 Description

• Collaborate with product, data science, eng, and ops to scope Trust ML models.
• Design, build, and productionize ML pipelines for batch and real-time use.
• Investigate fraud patterns and develop ML-based detections.
• Write, review, and ship clean, testable code for models and pipelines.
• Work with large-scale structured/unstructured data to improve models.
• Participate in code reviews and cross-team collaboration.
• Partner with trust defense and platform teams against fraud.

🎯 Requirements

• 5-10 years in applied ML with production-scale models.
• Strong Python skills; familiarity with Scala/Java.
• ML best practices incl. skew, AB testing, feature engineering.
• Experience with TensorFlow, PyTorch, or equivalents.
• Data engineering and end-to-end ML pipelines (batch and real-time).
• Experience with large-scale APIs and high-volume data pipelines.
• Test-driven development and deployment practices.
• Exposure to Trust/Risk domain is a plus (fraud, identity).
• Bachelor's/Master's/PhD in CS/ML or related field.

🎁 Benefits

• Remote eligible; US residency required for work location.
• Occasional in-office or offsite as agreed with manager.
• Disability-inclusive application and interview process.
• Bonus, equity, benefits, and Employee Travel Credits may apply.