Senior ML Engineer - Remote, Personalization & Scale

Coinbase; Austin (TX); Remote; USD 214.000 - 225.000; Vollzeit

Benefits dieser Stelle

Remote-friendly

Equity and bonus eligibility

Medical/dental/vision

401(k)

Zusammenfassung

Coinbase is seeking a Senior Machine Learning Engineer (L5) to own end-to-end ML initiatives from problem formulation to production deployment. You'll build multi-stage models for personalized experiences across crypto, equities, and derivatives, and design intelligent notification systems for timely insights.

You'll partner with Product, Data Science, and Engineering to shape roadmaps, mentor engineers, and raise the team's automation and reliability through AI-native workflows.

Qualifikationen

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

Aufgaben

• Own end-to-end ML initiatives from problem formulation to deployment and online testing.
• Build multi-stage recommendation, retrieval, and contextual bandit models for millions of users.
• Design intelligent notification systems and contextual targeting to improve UX.
• Develop production LLM pipelines and automated evaluation loops for real-time insights.
• Architect low-latency model serving and real-time feature pipelines; lead incident response.
• Collaborate with product/data/engineering to shape roadmaps and boost team velocity.

Kenntnisse

ML engineering

Software development

Python/Go

Offline evaluation

A/B testing

Mentoring

Tools

PyTorch

GBDTs

Spark/Databricks

Ray

Kafka

Tecton

Jobbeschreibung

Coinbase is seeking a Senior Machine Learning Engineer (L5) to own end-to-end ML initiatives from problem formulation to production deployment. You'll build multi-stage models for personalized experiences across crypto, equities, and derivatives, and design intelligent notification systems for timely insights.

You'll partner with Product, Data Science, and Engineering to shape roadmaps, mentor engineers, and raise the team's automation and reliability through AI-native workflows.