Staff Machine Learning Engineer

Posted 5hrs ago

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Job Description

Staff ML Engineer setting technical direction for AI models at Payabli, a payments infrastructure platform. Building, deploying, and monitoring models across risk, authorization, disputes, and payouts.

Responsibilities:

  • Set the technical direction for Payabli's model portfolio, maturing live transaction and merchant risk models and building new models across the payments lifecycle
  • Establish experimentation workflows, model monitoring, drift detection, performance benchmarking, and incident response foundations
  • Translate ambiguous payments problems into well-scoped modeling opportunities
  • Connect model performance to business metrics such as loss rates, approval/auth rates, dispute rates, and review efficiency
  • Mentor ML engineers and establish practices for the future team
  • Partner with product, engineering, and risk operations to own and prioritize the ML roadmap

Requirements:

  • 8+ years of ML engineering experience, with 4+ years building and shipping production models that drive real business decisions
  • Track record of owning modeling architecture and seeing big, hard-to-reverse decisions through to production
  • Breadth across model types and problem framing; ability to stand up a new model in an unfamiliar domain
  • Proven experience taking models from prototype to production and owning them post-launch, including monitoring, retraining, and incident response
  • Deep grasp of modeling tradeoffs including precision/recall vs. operational cost, explainability, latency, and regulatory/compliance considerations
  • Experience establishing ML processes and infrastructure that a growing team inherits
  • Ability to communicate model behavior and business impact to non-ML stakeholders
  • Comfortable in a fast-moving startup environment
  • Familiarity with AWS ML tools such as SageMaker, feature stores, training/inference pipelines, and MLOps tooling is a nice to have
  • Payments, fintech, or lending experience is a nice to have
  • Interest in growing into people leadership is a nice to have
  • Must be legally authorized to work in the United States
  • Must apply directly; no third-party recruiter or staffing agency submissions

Benefits:

  • Stock options with the potential to unlock more equity as we grow
  • Flexible PTO and paid parental leave
  • Medical, dental, & vision insurance
  • 401K, HSA, pre-tax savings programs
  • Competitive salary