Senior ML Engineer: Remote Real-Time Personalization & LLM

Coinbase; Hartford (CT); Hybrid; USD 214,000 - 225,000; Full time

Benefits offered by this job

Remote-friendly

Equity and bonus eligibility

401(k)

Job summary

Coinbase, Inc. is seeking a Senior Machine Learning Engineer (L5) to own end-to-end ML initiatives from problem formulation to production serving and online experimentation.

You will collaborate with Product, Data Science, and Engineering to ship high-impact models that drive engagement and trading activity. We are remote-first, with quarterly in-person surge sessions; expect to partner with teams across crypto, equities, derivatives, and prediction markets, and mentor mid-level engineers while

Qualifications

• 5+ 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 domains like recommendation systems, multi-stage ranking and retrieval, contextual bandits, notification targeting, or production LLM applications.
• Strong software engineering and data skills in Python or Go, with hands-on experience in modern ML/data stacks (PyTorch, GBDTs, Spark/Databricks, Ray, Kafka, Tecton).
• Deep practical knowledge of offline model evaluation, training-serving skew mitigation, and design/interpretation of online A/B experiments tied to business metrics.
• Demonstrated ability to drive complex projects end-to-end, make pragmatic architectural trade-offs, and mentor junior engineers.
• Utilizes generative AI responsibly with human oversight to deliver business-ready outputs and improve workflow efficiency, cost, and quality.

Responsibilities

• Own end-to-end ML initiatives from problem formulation to production deployment and online A/B testing, driving lifts in user engagement, retention, and trading activity.
• Build and iterate on multi-stage recommendation, retrieval, and contextual bandit models serving personalized experiences to millions of users.
• Design intelligent notification orchestration and targeting systems that match users with timely, high-value alerts while reducing fatigue.
• Develop production LLM pipelines, grounding workflows, and automated evaluation loops for real-time market insights.
• Architect resilient, low-latency model serving services and real-time feature pipelines, reducing debt and improving reliability.
• Partner with Product, Data Science, and Engineering to shape roadmap, mentor L3-L4 engineers, and boost velocity with AI-native workflows.

Skills

Production ML systems

ML engineering

Python

Go

End-to-end delivery

Mentoring teammates

Tools

Python

Go

PyTorch

Spark/Databricks

Kafka

Job description

Coinbase, Inc. is seeking a Senior Machine Learning Engineer (L5) to own end-to-end ML initiatives from problem formulation to production serving and online experimentation.

You will collaborate with Product, Data Science, and Engineering to ship high-impact models that drive engagement and trading activity. We are remote-first, with quarterly in-person surge sessions; expect to partner with teams across crypto, equities, derivatives, and prediction markets, and mentor mid-level engineers while