Senior Machine Learning Engineer, CX Intelligence

About the role

As a Senior Machine Learning Engineer at Coinbase, you will focus on creating AI-powered conversational systems aimed at improving customer support. Your responsibilities will include architecting the orchestration layer for managing various AI frameworks and ensuring the delivery of production-grade services.

You will work in a remote capacity from Brazil, collaborating with a mission-driven team dedicated to increasing economic freedom. Success in this role involves leading complex machine learning projects, mentoring fellow engineers, and establishing best practices that enhance system design and coding standards.

The competitive salary range is between $135,000 and $225,000, with additional compensation components possible.

Skills that matter here

• Python: This role requires deep proficiency in Python for developing clean and maintainable production code.
• Machine Learning: Experience in machine learning is essential for building advanced AI systems.
• AI: You will leverage modern AI architectures to create effective customer-facing products.
• NLP: Specialized knowledge in NLP will be beneficial for developing conversational systems.
• Deep Learning: Deep learning expertise is necessary for working with advanced AI models.

Who this role suits

• A person with over 5 years of experience in machine learning and software engineering.
• Someone who is comfortable in a high-performance environment and enjoys pushing their limits.
• An individual with strong communication skills, able to present complex technical concepts to non-technical stakeholders.
• A mentor who is willing to raise the technical bar for their peers.

From the employer

• 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.

• 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.

• Competitive salary range: $135K-$225K.
• Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).
• Remote-first work environment with quarterly in-person sessions.