The opportunity
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom.
What you'll do
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 they're looking for
- + 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.
