Machine Learning Engineer — Risk & AI

At […], we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. […] is a leading crypto exchange, and the developer of […] Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). […] is also a trusted brand by hundreds of large institutions seeking access to crypto markets.

We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.

Building machine learning systems for risk at a global crypto exchange is fundamentally different from conventional ML engineering. The data spans on-chain activity, fiat deposits and withdrawals, trading behaviour, account access patterns, device intelligence, identity information, and customer interactions—signals that very few organizations can analyze together.

The problems are complex, adversarial, and constantly evolving. Models must identify emerging fraud patterns, scams, account takeovers, payment abuse, and other forms of financial risk while minimizing disruption to legitimate customers. Success is not measured only through offline model metrics.

It is measured through prevented losses, improved approval rates, reduced false positives, faster i