Senior ML Engineer — Remote-First, End-to-End ML at Scale

Coinbase; Helena (MT); Remote; USD 214.000 - 225.000; Vollzeit

Benefits dieser Stelle

Equality of opportunity

Benefits: medical, dental, vision, 401

Equity eligibility

Zusammenfassung

Coinbase is seeking a Senior Machine Learning Engineer (L5) to own end-to-end ML initiatives that impact how millions trade and engage with markets. You will build and optimize multi-stage models, design intelligent notification and ranking systems, and deploy production pipelines for real-time market insights.

You will partner with Product, Data Science, and Engineering to raise the bar on engineering quality and drive AI-native workflows that boost velocity and business impact.

Qualifikationen

• 5+ years shipping production ML systems with business impact.
• Experience in recommendation, ranking, or LLM applications is a plus.
• Strong backend skills in Python/Go and ML/data stacks.
• Experience with offline evaluation and online AB testing.
• Ability to lead complex projects and mentor juniors.
• Responsible use of AI with human oversight

Aufgaben

• Own end-to-end ML initiatives from problem formulation to deployment.
• Build multi-stage recommendation and ranking models for millions of users.
• Design notification targeting and context-aware systems.
• Develop production LLM pipelines and evaluation loops.
• Architect low-latency model serving and real-time data pipelines.
• Collaborate with Product, Data Science, and Eng to drive roadmaps and velocity

Kenntnisse

ML engineering

Production ML systems

Python or Go

Analytical problem solving

Mentoring engineers

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 that impact how millions trade and engage with markets. You will build and optimize multi-stage models, design intelligent notification and ranking systems, and deploy production pipelines for real-time market insights.

You will partner with Product, Data Science, and Engineering to raise the bar on engineering quality and drive AI-native workflows that boost velocity and business impact.