Staff ML Engineer, CX Intelligence (Remote-First)

Coinbase, Inc.; Santa Fe (NM); Hybrid; USD 218,000 - 257,000; Full time

Benefits offered by this job

Equity

Bonus eligibility

Medical insurance

Dental

Vision

401(k)

Job summary

Coinbase, Inc. is seeking a Staff Machine Learning Engineer in CX Intelligence to design and deliver production ML systems that power our customer engagement ecosystem.

You will shape technical strategy and partner with product and engineering to improve resolution quality and customer experience. You will own end-to-end ML projects, mentor engineers, and ensure security, reliability, and responsible AI while building scalable data pipelines in Python to drive measurable improvements in

Qualifications

• 8+ years of ML and software engineering experience.
• Hands-on expertise with LLMs, DL, GNNs, or gradient-boosted trees and NLP knowledge.
• Strong Python skills with production-grade code.
• Experience mentoring engineers and setting technical standards.
• Ability to use generative AI responsibly with human oversight.

Responsibilities

• Own the design and delivery of production ML systems across the CX Intelligence org.
• Partner with leadership to define strategic roadmaps and translate vision into execution.
• Lead high-impact ML projects end-to-end, from architecture to production.
• Build scalable, secure ML systems, pipelines, and data workflows in Python.
• Mentor engineers and establish team-wide design/testing/observability standards.
• Drive design reviews around security, responsible AI, and architectural integrity.

Skills

LLMs

Deep learning

Graph neural networks

Gradient-boosted trees

Regression

NLP & information retrieval

Python production code

Mentoring engineers

Tools

Python

Job description

Coinbase, Inc. is seeking a Staff Machine Learning Engineer in CX Intelligence to design and deliver production ML systems that power our customer engagement ecosystem.

You will shape technical strategy and partner with product and engineering to improve resolution quality and customer experience. You will own end-to-end ML projects, mentor engineers, and ensure security, reliability, and responsible AI while building scalable data pipelines in Python to drive measurable improvements in