Senior Machine Learning Engineer, Compliance
Core
Building ML systems for compliance at a crypto exchange, focusing on AML, KYC/KYB, and sanctions detection using on-chain and fiat flow data.
Role type
Senior Machine Learning Engineer (Compliance)
Builds
Production ML infrastructure for financial crime detection, including model serving, monitoring, and automated investigation tooling.
Domain
Cryptocurrency exchange, Financial Services, Anti-Money Laundering (AML), Know Your Customer (KYC)
Deliverable
production ML models
Required skills
Python, MLOps, Spark/Databricks, supervised/unsupervised learning, anomaly detection, explainability frameworks (SHAP/LIME), LLM-assisted development
Preferred skills
Financial services experience, crypto ecosystem knowledge, on-chain data familiarity, VASP regulatory frameworks
Technologies
Spark, Databricks, Hadoop, MaxCompute, LLM coding tools
Responsibilities
Design and deploy ML models for AML transaction monitoring and risk scoring; own production infrastructure for feature pipelines and model monitoring; build internal ML tooling like experiment tracking and model registries; apply AI-assisted coding and automation to compliance workflows; collaborate with data scientists to transition research models to production; ensure model explainability for regulatory review.
Seniority
Senior, hands-on IC
