Senior ML Engineer — Real-Time Personalization at Scale

Coinbase; Honolulu (HI); Hybrid; USD 214,000 - 225,000; Full time

Benefits offered by this job

Equity

Bonus eligibility

Medical insurance

Dental coverage

Vision care

401(k)

Job summary

Coinbase, a remote-first company with quarterly in-person surges, seeks a Senior Machine Learning Engineer (L5) to own end-to-end ML initiatives across the lifecycle. You will partner with Product, Data Science, and Engineering to deliver high-impact features and scalable ML workflows.

You will ship production ML systems, mentor engineers, and drive architecture choices while maintaining responsible AI practices and measurable business impact.

Qualifications

• 5+ years of machine learning engineering and software development, with production ML shipping experience.
• Experience in domains: recommendation systems or online experimentation.
• Strong back-end programming in Python or Go, with ML/data stacks (PyTorch, GBDTs, Spark/Databricks, Ray, Kafka, Tecton).
• Deep knowledge of offline/online model evaluation and A/B testing tied to metrics.
• Ability to drive complex projects end-to-end and mentor engineers.
• Responsible use of generative AI with human oversight for business outputs.

Responsibilities

• Own end-to-end ML initiatives from problem formulation to production deployment and A/B testing.
• Build and iterate on multi-stage recommendation, retrieval, and contextual bandit models for millions of users.
• Design intelligent notification orchestration and targeting systems to maximize value and reduce fatigue.
• Develop production LLM pipelines and automated evaluation loops for real-time market insights.
• Architect low-latency model serving and real-time feature pipelines, improving reliability.
• Mentor junior engineers and shape the team roadmap with Product and Data Science.

Skills

ML engineering

Python

Go

PyTorch

Spark/Databricks

Kafka

LLM applications

Tools

Databricks

Ray

GBDTs

Spark

Kafka

Tecton

Job description

Coinbase, a remote-first company with quarterly in-person surges, seeks a Senior Machine Learning Engineer (L5) to own end-to-end ML initiatives across the lifecycle. You will partner with Product, Data Science, and Engineering to deliver high-impact features and scalable ML workflows.

You will ship production ML systems, mentor engineers, and drive architecture choices while maintaining responsible AI practices and measurable business impact.