Senior Machine Learning Engineer, CX Intelligence

Навыки

• AI-агенты
• AI-инструменты в работе
• AWS
• Computer Vision
• LLM
• Machine Learning
• NLP

О компании и продукте

• At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here

Задачи

• 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
• Ready to do the most impactful work of your career?

Требования

• 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

Условия

• Coinbase is a remote-first, but not remote-only company
• Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase
• 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
• The team owns the multi-agent platform powering Coinbase Chat and agent tooling, partnering with Conversation Design, CX, and Engineering to deliver secure, scalable automated support
• 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

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