Staff Machine Learning Engineer - Risk

As our Staff Machine Learning Engineer, Risk, you'll lead the evolution of our ML platform for payment risk, building the production-grade capabilities behind feature engineering, model training, deployment, monitoring, and continuous improvement. Risk decisions sit at the center of our business, and you'll own how those models get built, shipped, and kept healthy. This role reports to the CTO.

You'll work closely with Risk, Software Engineering, and Data Engineering, and you'll be the senior technical voice for ML on the risk team.

We're looking for someone who thrives in fast-moving environments, wants meaningful ownership, and is excited to build rather than simply maintain.

• →Design and build ML infrastructure for payment risk detection, using Databricks as the core platform, in close partnership with software and data engineers.
• →Bring structure to the team's ML environment: feature pipelines, versioning, job orchestration, and monitoring.
• →Design and productionize models rather than just prototype them, including training pipelines, retraining cadence, drift monitoring, and deployment.
• →Develop reliable, automated, and reproducible ML workflows across the full model lifecycle.
• →Set technical standards for how ML gets built and shipped on the risk team, including architecture and technical direction.
• →Own the operational health of models in production, from low-latency inference to monitoring and incident response.
• →Help shape the future of risk and ML at Breeze.

• 8+ years in ML engineering, with real production ownership rather than research or modeling alone.
• A track record building risk or fraud-adjacent ML systems, ideally in payments or fintech.
• Experience with real-time payment-risk systems, including low-latency model inference, monitoring, and incident response.
• A strong collaborator across engineering and data engineering — this role sits at that intersection.
• Comfortable being the senior technical voice on a small team, with cross-functional technical leadership, able to set direction and not just execute.
• Comfortable operating in fast-moving environments without an established playbook.
• A builder mentality with a strong bias toward action.
• Excited to use AI and automation to work smarter and rethink existing processes.
• Comfortable getting into the details and doing the work, regardless of seniority.

• Familiarity with payments-specific risk signals such as chargebacks, dispute networks, and tokenization context.
• Experience establishing ML platform standards and operating models in a growing organization.
• Experience at an early-stage or high-growth startup.

Employees based in our New York City, NY office follow a hybrid work model and are expected to work from the office three days per week. Employees based in our Singapore office are expected to work on-site five days per week.

In-office expectations may vary slightly depending on role, team, and business needs. Certain roles that require closer cross-functional collaboration or operational support may have additional requirements, which will be discussed during the interview process.

Our approach is designed to support meaningful in-person collaboration, team building, and real-time decision-making while providing flexibility where applicable. We believe this structure enables strong execution, close collaboration, and effective teamwork across our global offices.

We offer a rare combination: the ownership and speed of an early-stage company with the traction, backing, and financial foundations of a successful business.

We're building at the convergence of AI, payments, stablecoins, financial infrastructure, and global commerce. The opportunity is much bigger than building another payment processor.

We're building the intelligent infrastructure layer for global commerce, and there's still an enormous amount left to build.

If you want meaningful ownership, hard problems, exceptional teammates, and the opportunity to help define what comes next, we'd love to hear from you!