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
Powiązane wyszukiwania
- machine learning engineer Zdalna
- senior ai/ml specialist Zdalna
- data scientist machine learning specialist Zdalna
- software engineer machine learning ai Zdalna
- machine learning team lead Zdalna
- machine learning specialist Zdalna
- firmware engineer Zdalna
- platform engineer Zdalna
- engineer in test Zdalna
- senior algorithm engineer Zdalna