Machine Learning Engineer II (Servicing ML)

You have a total of 2+ years of experience as a machine learning engineer

Strong Python skills and experience writing production-quality code

Experience building and evaluating models for tabular classification problems (preferably gradient-boosted decision trees like LightGBM/XGBoost/CatBoost).

Experience building applications with LLM APIs (e.g., OpenAI, Anthropic), including structured extraction, prompt engineering, and orchestration frameworks like LangChain or LangGraph.

Experience with ML lifecycle tooling for training orchestration, experimentation, and model monitoring (e.g., Kubeflow, Airflow, MLflow, or equivalent internal platforms).

Proficient in using AI-powered developer tools (e.g., Claude Code, Cursor, or similar) to accelerate iteration, debugging, and code quality as part of day-to-day development workflows.

You will develop AI systems that automate dispute and chargeback handling using structured evidence and business logic, creating a better experience for our customers.

You will build models that automate refunds, getting money back to our customers faster.

You will build and maintain evidence extraction pipelines that process unstructured data using LLM-powered workflows to produce structured, actionable outputs.

You will prototype new modeling ideas, run offline experiments, and drive the best-performing approaches into production with appropriate risk controls.

You will collaborate across Engineering, Servicing Operations, Product, and ML Platform to define requirements, evaluate tradeoffs, and communicate results clearly to both technical and non-technical audiences.