Senior Machine Learning Engineer

About the role

Ready to do the most impactful work of your career? At Coinbase we are uncompromising on our mission to increase economic freedom. The CX Intelligence team builds AI‑powered support experiences and is looking for a senior engineer to design a unified orchestration layer for hybrid vendor‑internal chatbots.

Key responsibilities

• 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.

Required profile

• 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.
• Responsible use of generative AI tools and human‑in‑the‑loop practices to deliver business‑ready outputs and measurable efficiency gains.

Required skills

• Python
• Large Language Models (LLMs)
• Deep learning
• LangGraph
• LangSmith
• Google ADK
• Vertex AI
• AWS Bedrock
• Natural Language Processing (NLP)
• Information retrieval
• Computer vision
• Advanced statistical modeling
• Generative AI tools (e.g., LibreChat, Gemini, Glean)