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 end-to-end machine learning initiatives from problem formulation and: offline evaluation to production deployment and online A/B testing, driving measurable lifts in user engagement, retention, and trading activity.
Build and iterate on multi-stage recommendation, retrieval, and contextual: bandit models that serve personalized experiences to millions of users across crypto, equities, derivatives, and prediction markets.
Design intelligent notification orchestration, candidate ranking, and: targeting systems that match users with timely, high-value alerts while avoiding fatigue and improving user experience.
Develop production LLM pipelines, grounding workflows, and automated: evaluation loops that generate accurate, real-time market insights and personalized financial content.
Architect resilient, low-latency model serving services and real-time feature: pipelines, eliminating technical debt, leading incident response, and raising our operational reliability bar.
Partner with Product, Data Science, and Engineering to shape the team: roadmap, mentor L3-L4 engineers, and build AI-native workflows and automation that multiply team velocity.
What they're looking for
- + years of experience in machine learning engineering and software: development, with a track record of shipping production ML systems that move customer and business metrics.
- Proven track record in one or more relevant domains: recommendation systems, multi-stage ranking and retrieval, contextual bandits, notification targeting, or production LLM applications.
- Strong software engineering and data skills in a backend language like Python: or Go, with hands-on proficiency in modern ML and data stacks (such as PyTorch, GBDTs, Spark/Databricks, Ray, Kafka, and/or Tecton).
- Deep practical knowledge of offline model evaluation, training-serving skew: mitigation, and design/interpretation of online A/B experiments tied to business metrics.
