Staff Machine Learning Engineer (Fintech)

Location: Remote

Company

hirify.global is a venture-backed fintech company providing payments infrastructure and monetization tools for vertical software companies through developer-friendly APIs and embedded payment components.

What you will do

• Set the technical direction for the ML model portfolio, maturing transaction and merchant risk models and creating new models across the payments lifecycle.
• Build ML foundations for experimentation workflows, model monitoring, drift detection, benchmarking, and incident response.
• Translate ambiguous payments problems into well-scoped modeling opportunities and connect model performance to loss rates, authorization rates, dispute rates, and review efficiency.
• Take models from prototype through production and own evaluation, monitoring, feature development, retraining, and post-launch operations.
• Partner with product, engineering, and risk operations to prioritize the ML roadmap.
• Mentor ML engineers and establish technical practices for the growing function.

Requirements

• 8+ years of ML engineering experience, including 4+ years building and shipping production models that drive business decisions.
• Experience owning modeling architecture and taking complex, difficult-to-reverse decisions through production.
• Ability to develop models in unfamiliar domains and manage the full lifecycle from prototype to post-launch monitoring, retraining, and incident response.
• Strong understanding of precision/recall, operational cost, explainability, latency, and regulatory or compliance tradeoffs.
• Experience establishing ML processes and infrastructure, communicating model behavior and business impact to non-ML stakeholders, and providing technical leadership.
• Payments, fintech, or lending experience, especially chargebacks, merchant risk, KYC/KYB, authorization or routing, fraud, underwriting, or credit models.

Nice to have

• Familiarity with AWS ML tools such as SageMaker, feature stores, training and inference pipelines, and MLOps tooling.
• Interest in growing into people leadership as the function scales.

Culture & Benefits

• Fast-moving, venture-backed fintech startup environment with a bias toward shipping.
• Values-driven culture focused on customer impact, ownership, direct feedback, curiosity, and solving complex problems.
• Competitive salary and stock options.
• Flexible PTO and paid parental leave.
• Medical, dental, and vision insurance, plus 401K, HSA, and pre-tax savings programs.