Senior Machine Learning Engineer - Remote-First FinTech ML

Coinbase, Inc.; Lincoln (NE); Remote; USD 214,000 - 225,000; Full time

Job summary

Coinbase is hiring a Senior Machine Learning Engineer (L5) to own end-to-end ML initiatives from problem framing to production deployment and online experiments. You will build multi-stage models for personalized recommendations and markets, deploy low-latency services, and mentor junior engineers in a fast-paced, data-driven environment.

The role emphasizes hands-on Python/Go, ML stacks like PyTorch, and responsible use of AI, with quarterly in-person surges and a remote-first culture.

Qualifications

• 5+ years of experience in machine learning engineering and software development.
• Proven track record in domains like recommendation systems, ranking, or production LLM apps.
• Strong software engineering and data skills in Python or Go; proficiency with ML/data stacks.
• Deep knowledge of offline evaluation, serving skew mitigation, and online experiments.
• Ability to drive complex projects end-to-end and mentor junior engineers.
• Responsible use of generative AI with human oversight and measurable impact.

Responsibilities

• Own end-to-end ML initiatives from problem formulation to production deployment and online A/B testing.
• Build and iterate on multi-stage recommendation and ranking models serving millions of users.
• Design intelligent notification and targeting systems to improve user experience without fatigue.
• Develop production LLM pipelines and automated evaluation loops for real-time insights.
• Architect low-latency model serving services and real-time feature pipelines, reducing technical debt.
• Partner with cross-functional teams to shape roadmaps and scale AI-native workflows.

Skills

Machine learning engineering

Python

Go

Production ML systems

A/B testing

Backend development

Mentoring

Generative AI

Low-latency serving

Team collaboration

Tools

PyTorch

GBDTs

Spark/Databricks

Ray

Kafka

Tecton

Job description

Coinbase is hiring a Senior Machine Learning Engineer (L5) to own end-to-end ML initiatives from problem framing to production deployment and online experiments. You will build multi-stage models for personalized recommendations and markets, deploy low-latency services, and mentor junior engineers in a fast-paced, data-driven environment.

The role emphasizes hands-on Python/Go, ML stacks like PyTorch, and responsible use of AI, with quarterly in-person surges and a remote-first culture.