Machine Learning Engineer

Overview

Machine Learning Engineer (IC4) for Coinbase’s CX Intelligence team, building a hybrid vendor-internal chatbot experience and an orchestration layer for conversational AI workflows.

What you'll do

• Build and improve an orchestration layer for state transitions, context sharing, and intent routing across LLM frameworks.
• Develop production-grade Python services bridging AI/ML capabilities with customer-facing products.
• Drive ML projects from design through delivery while balancing technical trade-offs.
• Contribute to system design, coding standards, and AI/ML development best practices.
• Partner with engineers and cross-functional stakeholders to build secure, scalable AI-enabled experiences.
• Participate in design reviews to help ensure security, compliance, and performance standards.

What you'll need

• 2+ years of professional experience in machine learning and software engineering.
• Experience shipping production-grade ML services.
• Hands-on experience with modern AI architectures such as LLMs and deep learning.
• Familiarity with tools including LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock.
• Strong proficiency in Python for 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 stakeholders.

Details

• Coinbase is remote-first, with quarterly in-person working sessions called “surges.”