Senior Machine Learning Engineer, CX Intelligence

ABOUT THE ROLE We're seeking a highly skilled Machine Learning Engineer to join the CX Intelligence team at Coinbase, a remote-first company that's uncompromising on its mission to increase economic freedom. As a Machine Learning Engineer, you'll play a critical role in building AI-powered conversational systems that connect Coinbase's Help Center, chatbots, and agent workflows. You'll lead the design and implementation of a unified orchestration layer that coordinates interactions between vendor AI, internal multi-agent systems, and human participants, directly improving how millions of customers get help. WHAT YOU'LL DO As a Machine Learning Engineer on the CX Intelligence team, you'll: Architect and deploy the orchestration layer that manages state transitions, context sharing, and intent routing across vendor and internal LLM frameworks in a distributed conversational environment. Build production-grade Python services that bridge advanced ML/AI research with reliable, measurable customer-facing products. Lead end-to-end project execution for complex ML initiatives, managing priorities, technical trade-offs, and cross-functional dependencies from design through delivery. Establish best practices for system design, coding standards, and AI/ML development workflows across the team. Mentor engineers on architectural integrity and modern AI/ML patterns, raising the technical bar for the broader team. Conduct design reviews to ensure every feature meets Coinbase's standards for security, scalability, and performance. WHAT YOU'LL NEED To be successful in this role, you'll need: 5+ years of professional experience in machine learning and software engineering, with a track record of shipping production-grade ML services at scale. Hands-on expertise building with modern AI architectures (LLMs, deep learning) and the generative AI ecosystem, including frameworks such as LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock. Deep proficiency in Python with demonstrated ability to write clean, maintainable, highly-tested production code. Specialized knowledge in at least one domain: NLP, information retrieval, computer vision, or advanced statistical modeling. Proven ability to write technical design documents and present ML system architectures to cross-functional stakeholders, translating complex technical concepts for non-technical audiences. Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. WHY REMOTE Coinbase is a remote-first company, but not remote-only. You'll have the opportunity to work with a talented team from around the world, and to participate in quarterly in-person working sessions called "surges." BENEFITS Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).