About the role
Coinbase is a remote-first cryptocurrency exchange. This senior machine learning engineer works on personalisation for millions of users trading crypto, equities, derivatives and prediction markets.
You would own ML projects from problem framing and offline evaluation through production deployment and online A/B tests. The work includes multi-stage recommendation, retrieval and contextual bandit models, notification orchestration and ranking that sends timely alerts without fatigue, production LLM pipelines with grounding and automated evaluation for market insights, and low-latency model serving with real-time feature pipelines. You would also lead incident response for these systems, help shape the team roadmap and mentor less senior engineers.
Coinbase wants 5+ years in ML engineering and software development with production ML systems that moved business metrics, experience in recommendation, ranking, bandits, notification targeting or production LLM apps, strong Python or Go, and hands-on work with stacks such as PyTorch, GBDTs, Spark or Databricks, Ray, Kafka and Tecton, plus solid offline and online experiment design.
Base pay is $213,750 to $225,000 a year, plus equity and bonus eligibility. Remote in the United States.
Skills
How to apply
Apply directly on the employer's application page. Your application goes straight to them.
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Republished listing
This opportunity was discovered on Coinbase's public careers page and is republished here for discovery purposes. Applications are handled by the employer.
If this is your role and you want it off the board, contact us.