Senior ML Engineer - Remote, Personalization & Growth

Coinbase; Jackson (MS); Remote; USD 214.000 - 225.000; Vollzeit

Benefits dieser Stelle

Remote-first

Quarterly in-person surges

Zusammenfassung

Coinbase is seeking a Senior Machine Learning Engineer to own end-to-end ML initiatives, from problem framing to production deployment. You will build multi-stage models for personalized experiences across crypto and markets, design intelligent notification and ranking systems, and develop real-time insights using LLM-based workflows.

In a remote-first environment, you will collaborate with Product, Data Science, and Engineering to raise the engineering bar and drive measurable impact through

Qualifikationen

• 5+ years of experience in machine learning engineering and software development, with a track record of shipping production ML systems.
• Proven track record in domains like recommendation systems, ranking and retrieval, or production LLM applications.
• Strong software/data skills in Python or Go, with PyTorch, Spark/Databricks, Ray, Kafka, or Tecton experience.
• Experience driving end-to-end ML projects, mentoring engineers, and delivering business impact.

Aufgaben

• Own end-to-end ML initiatives from problem formulation to production deployment and online A/B testing.
• Build multi-stage recommendation, retrieval, and contextual bandit models for millions of users.
• Design intelligent notification orchestration and targeted ranking systems.
• Develop production LLM pipelines and real-time market insights.
• Architect low-latency model serving and real-time feature pipelines.
• Mentor junior engineers and shape team roadmap with Product and Data Science.

Kenntnisse

ML engineering

Production ML systems

Python

Go

A/B testing

Tools

PyTorch

GBDTs

Spark

Databricks

Ray

Kafka

Tecton

Jobbeschreibung

Coinbase is seeking a Senior Machine Learning Engineer to own end-to-end ML initiatives, from problem framing to production deployment. You will build multi-stage models for personalized experiences across crypto and markets, design intelligent notification and ranking systems, and develop real-time insights using LLM-based workflows.

In a remote-first environment, you will collaborate with Product, Data Science, and Engineering to raise the engineering bar and drive measurable impact through