Machine Learning Engineer II (Servicing ML)
Core
Build and improve machine learning and AI systems to automate customer operations including disputes, returns, fraud, and chargebacks.
Role type
Machine Learning Engineer II (Servicing ML)
Builds
AI systems for dispute/chargeback automation, refund automation models, and LLM-powered evidence extraction pipelines.
Domain
Fintech / Credit / Customer Servicing
Deliverable
production ML models
Required skills
Python, tabular classification (gradient-boosted trees), LLM APIs (OpenAI/Anthropic), prompt engineering, orchestration frameworks (LangChain/LangGraph), unstructured data processing, ML lifecycle tooling (Kubeflow/Airflow/MLflow), AI-powered developer tools
Preferred skills
Experience navigating large codebases, code review, taking business scenarios to production solutions
Technologies
LightGBM/XGBoost/CatBoost, OpenAI, Anthropic, LangChain, LangGraph, Kubeflow, Airflow, MLflow, PDF/image extraction
Responsibilities
Develop AI systems for dispute and chargeback handling; build models to automate refunds; build and maintain evidence extraction pipelines using LLMs; prototype new modeling ideas and drive best-performing approaches to production; collaborate across Engineering, Operations, Product, and ML Platform.
Seniority
Mid-level IC (2+ years experience)
