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Senior Machine Learning Engineer, CX Intelligence

Job Overview

As a Machine Learning Engineer on the CX Intelligence team within Enterprise Applications and Architecture, you'll build the AI-powered conversational systems that connect Coinbase's Help Center, chatbots, and agent workflows.

Key points

  1. Architect and deploy the orchestration layer that manages state transitions, context sharing, and intent routing across vendor and internal LLM frameworks in a distributed…

  2. Build production-grade Python services that bridge advanced ML/AI research with reliable, measurable customer-facing products.

  3. Lead end-to-end project execution for complex ML initiatives, managing priorities, technical trade-offs, and cross-functional dependencies from design through delivery.

  4. Establish best practices for system design, coding standards, and AI/ML development workflows across the team.

  5. Hands-on expertise building with modern AI architectures (LLMs, deep learning) and the generative AI ecosystem, including frameworks such as LangGraph, LangSmith, Google ADK…

  6. Deep proficiency in Python with demonstrated ability to write clean, maintainable, highly-tested production code.

  7. Specialized knowledge in at least one domain: NLP, information retrieval, computer vision, or advanced statistical modeling.

  8. Proven ability to write technical design documents and present ML system architectures to cross-functional stakeholders, translating complex technical concepts for non-technical audiences.

Skills

Machine LearningPythonLLMsGenerative AIAWSDeep LearningNLPComputer Vision

Experience: Senior-level · 5+ years

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