Senior Machine Learning Engineer, Risk Modeling

📋 Description Partner with product, eng, data science, policy, and ops to design ML risk solutions Own end-to-end ML systems from problem definition to deployment and monitoring Lead technical decisions within your workstreams and influence ML strategy Build tooling and processes to speed, reliability, and impact of ML lifecycle Apply state-of-the-art modeling and external data to improve detection Investigate fraud, abuse, and risk patterns to inform safeguards 🎯 Requirements 8+ years of experience in ML, AI, or related fields Bachelor’s in a quantitative field; Master’s/PhD preferred Proven experience designing, deploying, and maintaining ML solutions in production Tree-based models, deep learning, transfer learning, RL Experience influencing technical direction with cross-functional partners at scale Strong communication skills, sound judgment, ownership mindset 🎁 Benefits Remote work Medical insurance Flexible time off Retirement savings plans Modern family planning