Machine Learning Engineer

The role is a Machine Learning Engineer on Coinbase’s CX Intelligence team, building a hybrid vendor‑internal chatbot ecosystem. Responsibilities include designing and implementing an orchestration layer that manages state, context, and intent routing across vendor and internal LLM frameworks, developing production‑grade Python services that integrate advanced AI with customer‑facing products, and driving end‑to‑end ML projects while ensuring security, compliance, and performance. The engineer will collaborate with cross‑functional stakeholders to deliver scalable, high‑performing AI‑enabled experiences.

Experience: 2+ years

• 2+ years of professional experience in machine learning and software engineering, with experience shipping production‑grade ML services.
• Hands‑on experience building with modern AI architectures such as LLMs and deep learning, and familiarity with tools such as LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock.
• Strong proficiency in Python and the ability to write clean, maintainable, well‑tested production code.
• Working knowledge in at least one domain such as NLP, information retrieval, computer vision, or statistical modeling.
• Ability to write technical design documents and communicate ML system designs clearly to cross‑functional stakeholders.
• Uses generative AI responsibly, applying human oversight to deliver business‑ready outputs and measurable improvements in efficiency, cost, and quality.