Staff Machine Learning Engineer

Overview

Staff Machine Learning Engineer on the CX Intelligence team within CEE Intelligence (CEEI), the ML and intelligence layer for Coinbase's customer engagement ecosystem. The role leads design and delivery of production ML systems that power Help Center, chat, voice, agent tooling and other customer support runtimes.

What you'll do

• Own the design and delivery of production ML systems, applying LLMs, deep learning, graph neural networks, and classical ML techniques to solve complex customer experience problems.
• Partner with leadership and cross-functional stakeholders to define strategic roadmaps and translate vision into quarterly execution plans with measurable outcomes.
• Lead high-impact ML projects end-to-end, from architecture through production, managing priorities, risks, and dependencies.
• Build scalable, secure, and reliable ML systems, evaluation pipelines, and data workflows using high-quality, well-tested Python code.
• Mentor engineers and establish team-wide standards for design, testing, observability, and operational excellence.
• Drive design reviews covering security, responsible AI, model quality, and architectural integrity, improving reliability, scalability, and latency across the stack.

What you'll need

• 8+ years of experience in machine learning and software engineering, with proven success building, scaling, and maintaining production ML systems, data platforms, or analytical services.
• Hands-on expertise with one or more of LLMs, deep learning, graph neural networks, gradient-boosted trees, or regression, combined with strong knowledge of NLP, information retrieval, data mining, or advanced statistics.
• Strong Python skills with demonstrated ability to write maintainable, highly tested production code for ML services.
• Experience mentoring engineers and raising technical standards across a team or organization, including leading design reviews and influencing technical and non-technical stakeholders.
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

Details

• Remote-first, but not remote-only; expect to get together quarterly for in-person working sessions called "surges".
• Annual base salary range (excluding equity and bonus): $218,025 — $256,500 USD.
• Candidates may submit a maximum of 3 applications within a 6-month period.