Senior ML Engineer - Remote-First, Drive Personalization

Coinbase; Montpelier (VT); Hybrid; USD 214.000 - 225.000; Vollzeit

Benefits dieser Stelle

Remote-first

Quarterly in-person surges

Zusammenfassung

Coinbase is seeking a Senior Machine Learning Engineer (L5) to own end-to-end ML initiatives, from problem framing to deployment, with emphasis on production systems across recommendations, ranking, and LLM-driven insights. You will work with Product, Data Science, and Engineering in a high-velocity environment to drive measurable business impact.

Join a remote-first company that values intense in-person surges quarterly, mentoring engineers, and building AI-native workflows while maintaining

Qualifikationen

• 5+ years shipping production ML systems influencing metrics.
• Expertise in ranking, retrieval, or LLM applications.
• Backend skills in Python or Go with ML data stacks.
• Experience with offline evaluation and online experiments.
• Proven ability to lead projects and mentor juniors.
• Responsible use of generative AI with human oversight.

Aufgaben

• Own end-to-end ML initiatives from problem formulation to deployment.
• Build multi-stage recommendation and ranking models.
• Design notification targeting and user matching systems.
• Develop production LLM pipelines and evaluation loops.
• Architect low-latency model serving and data pipelines.
• Partner with teams to shape roadmap and mentor engineers.

Kenntnisse

ML engineering

Production ML systems

Python or Go

Offline evaluation

Mentoring engineers

Responsible AI

Tools

PyTorch

GBDTs

Spark/Databricks

Kafka

Ray

Jobbeschreibung

Coinbase is seeking a Senior Machine Learning Engineer (L5) to own end-to-end ML initiatives, from problem framing to deployment, with emphasis on production systems across recommendations, ranking, and LLM-driven insights. You will work with Product, Data Science, and Engineering in a high-velocity environment to drive measurable business impact.

Join a remote-first company that values intense in-person surges quarterly, mentoring engineers, and building AI-native workflows while maintaining