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
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 they're looking for
- + 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.
