Related skills
python langchain langgraph openai xgboost📋 Description
- Build ML/AI systems to automate disputes, returns, fraud, and chargebacks.
- Collaborate to move models from idea to prototype to production.
- Develop evidence extraction pipelines from unstructured data with LLM workflows.
- Prototype new modeling ideas and run offline experiments with risk controls.
- Work across Engineering, Servicing Ops, Product, and ML Platform.
🎯 Requirements
- 2+ years of experience as a machine learning engineer.
- Strong Python skills and production quality code.
- Experience with tabular classification models (LightGBM/XGBoost/CatBoost).
- Experience with LLM APIs (OpenAI, Anthropic) and LangChain/LangGraph.
- Familiarity with document/unstructured data processing (PDF/image parsing).
- ML lifecycle tooling for training orchestration, experimentation, and monitoring (Kubeflow/Airflow/MLflow).
- Proficient with AI powered developer tools (Claude Code, Cursor).
- Bachelor's degree or equivalent practical experience.
🎁 Benefits
- Remote-first company; most roles remote.
- Health care coverage for you and dependents.
- Flexible Spending Wallets for tech and lifestyle needs.
- Time off with generous vacation and holidays.
- ESPP - Employee stock purchase plan.
- Competitive benefits anchored to our people-first value.
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