Utwórz profil, aby pracodawcy mogli Cię znaleźć, otrzymywać lepiej dopasowane oferty pracy i szybciej aplikować.
  • Wyszukiwanie ofert pracy
  • Zapisane
  • Stwórz CV
    Nowe
  • Wynagrodzenia
  • Subskrypcje

Staff Machine Learning Engineer

Pełny etat

Payabli

Responsibilities

  • Set the technical direction for Payabli’s model portfolio, including existing transaction- and merchant-risk models and new payments lifecycle models.
  • Establish experimentation workflows, model monitoring, drift detection, performance benchmarking, retraining, and incident-response foundations.
  • Translate ambiguous payments problems into modeling opportunities and communicate model performance in terms of business impact.
  • Own and prioritize the ML roadmap with product, engineering, and risk operations.
  • Mentor ML engineers and raise technical standards through influence, example, and durable engineering practices.

Requirements

  • Require 8+ years of ML engineering experience, including 4+ years building and shipping production models that drive business decisions.
  • Demonstrated ownership of modeling architecture and significant technical decisions through production.
  • Breadth across model types and problem framing, with the ability to build models in unfamiliar domains.
  • Experience taking models from prototype to production and owning monitoring, retraining, and incident response after launch.
  • Deep understanding of precision/recall, operational cost, explainability, latency, and regulatory or compliance tradeoffs.
  • Experience establishing ML processes and infrastructure for a growing team.
  • Strong technical leadership, coding, design-review, communication, and stakeholder collaboration abilities.
  • Comfort working in a fast-moving startup environment with a bias toward shipping.
  • Payments, fintech, lending, risk, underwriting, fraud, credit modeling, chargebacks, merchant risk, KYC/KYB, or authorization/routing experience is preferred.
  • Familiarity with AWS ML tools such as SageMaker, feature stores, training and inference pipelines, and MLOps tooling is preferred.
  • Interest in potentially developing into people leadership is preferred but not required.

Benefits

  • Competitive salary and stock options with potential for additional equity as the company grows.
  • Flexible PTO and paid parental leave.
  • Medical, dental, and vision insurance.
  • 401(k), HSA, and pre-tax savings programs.
  • Equal opportunity employer committed to a diverse and inclusive workplace.
Oferta pracy dodana 3 dni temu