Staff ML Engineer, CX Intelligence — Remote-First Impact

Unchain Data; Northern (KY); Remote; USD 218,000 - 257,000; Full time

Job summary

Coinbase is a remote-first company focused on increasing economic freedom. As a Staff Machine Learning Engineer in CX Intelligence, you will lead the design and delivery of production ML systems across the customer engagement ecosystem, shaping strategy and partnering with product and engineering teams to improve resolution quality and customer experience.

You will mentor engineers, drive design reviews on security and responsible AI, and ensure scalable, observable ML pipelines that meet

Qualifications

• 8+ years of ML and software engineering experience building production ML systems.
• Hands-on with LLMs, deep learning, graph neural networks, or related techniques; strong NLP/data mining knowledge.
• Strong Python skills for production-grade ML services.
• Experience mentoring engineers and leading design reviews.
• Responsible AI with human oversight to improve outcomes.

Responsibilities

• Design and deliver production ML systems using LLMs, DL, GNNs, and related methods.
• Define roadmaps and translate vision into quarterly plans with measurable outcomes.
• Lead end-to-end ML projects from architecture to production.
• Build scalable, secure ML systems and data pipelines.
• Mentor engineers and raise technical standards.
• Drive security, model quality, and architectural reviews.

Skills

ML systems

Python

Mentoring engineers

Stakeholder collaboration

Responsible AI

Tools

LLMs

Data pipelines

NLP

Job description

Coinbase is a remote-first company focused on increasing economic freedom. As a Staff Machine Learning Engineer in CX Intelligence, you will lead the design and delivery of production ML systems across the customer engagement ecosystem, shaping strategy and partnering with product and engineering teams to improve resolution quality and customer experience.

You will mentor engineers, drive design reviews on security and responsible AI, and ensure scalable, observable ML pipelines that meet