Machine Learning Engineer, Risk AI/ML
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The role
Join a high-impact risk ML team focused on fraud prevention and user protection in a fast-paced crypto environment.
Own end-to-end model development on a centralized self-service ML platform, from ideation to production.
Improve core models (Scam, Transaction Risk, Withdrawal Limits, Account Takeover) and rapidly deploy permanent ML defenses—target production in under one week.
Build scalable, real-time predictive models and pipelines using automated CI/CD and a centralized feature store.
Leverage advanced ML techniques (NLP, Graph Neural Networks (GNNs), LLMs, sequence models) and develop context-aware risk decisions balancing security with user experience.
Collaborate with Risk Operations, Platform Engineering, and Product Management to turn threats into automated defenses.
Own end-to-end model development on a centralized self-service ML platform, from ideation to production.
Improve core models (Scam, Transaction Risk, Withdrawal Limits, Account Takeover) and rapidly deploy permanent ML defenses—target production in under one week.
Build scalable, real-time predictive models and pipelines using automated CI/CD and a centralized feature store.
Leverage advanced ML techniques (NLP, Graph Neural Networks (GNNs), LLMs, sequence models) and develop context-aware risk decisions balancing security with user experience.
Collaborate with Risk Operations, Platform Engineering, and Product Management to turn threats into automated defenses.
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