Staff Machine Learning Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Define the technical roadmap for Payabli's model portfolio by advancing existing transaction and merchant risk models and developing new models throughout the payments lifecycle.

• Implement experimentation workflows, establish model monitoring, drift detection, performance benchmarking, and foundational incident response strategies.

• Convert unclear payment challenges into clearly defined modeling opportunities.

• Link model performance to key business metrics such as loss rates, approval/auth rates, dispute rates, and review efficiency.

• Provide mentorship to ML engineers and instill best practices for the future team.

• Collaborate with product, engineering, and risk operations to manage and prioritize the ML roadmap.

⛳️ Requirements

• A minimum of 8 years of experience in ML engineering, including at least 4 years of developing and deploying production models that influence significant business decisions.

• A proven history of owning modeling architecture and successfully guiding complex, irreversible decisions to production.

• Broad experience across various model types and problem framing; capable of creating a new model in an unfamiliar field.

• Demonstrated ability to transition models from prototype to production and manage them post-launch, which includes monitoring, retraining, and handling incidents.

• Profound understanding of modeling tradeoffs, including precision/recall versus operational costs, explainability, latency, and regulatory/compliance factors.

• Experience in establishing ML processes and infrastructure that can be adopted by a growing team.

• Proficient in communicating model behavior and business implications to stakeholders without ML expertise.

• Comfortable working in a dynamic startup environment.

• Familiarity with AWS ML tools such as SageMaker, feature stores, training/inference pipelines, and MLOps tools is a plus.

• Experience in payments, fintech, or lending is advantageous.

• An interest in progressing towards a leadership role is a plus.

• Must be legally authorized to work in the United States.

• Applications must be submitted directly; no submissions from third-party recruiters or staffing agencies are accepted.

🏝️ Benefits

• Stock options with the potential for increased equity as we expand.

• Flexible PTO and paid parental leave.

• Comprehensive medical, dental, and vision insurance.

• 401K, HSA, and pre-tax savings programs.

• Competitive salary.