Remote Senior ML Engineer — Real-Time Personalization

Coinbase, Inc.; Augusta (ME); Remote; USD 214,000 - 225,000; Full time

Benefits offered by this job

Remote-first culture

Quarterly in-person surges

Job summary

Coinbase, Inc. is seeking a Senior Machine Learning Engineer (L5) to own end-to-end ML initiatives from problem formulation to production deployment and online experimentation.

You will build multi-stage models for personalized experiences across crypto, equities, and prediction markets, and collaborate with Product and Data Science to raise our engineering bar. You will design production LLM pipelines, intelligent notification systems, and low-latency serving services, while mentoring junior

Qualifications

• 5+ years shipping production ML systems.
• Domain experience in recommendation, ranking, or production LLM apps.
• Proficient in Python or Go with ML/data stacks.
• Experience with offline evaluation and online A/B experiments.
• Ability to mentor junior engineers.

Responsibilities

• Own end-to-end ML initiatives from problem formulation to production deployment and online A/B testing.
• Develop multi-stage recommendation, retrieval, and contextual bandit models for millions of users.
• Design intelligent notification ranking and targeting systems.
• Develop production LLM pipelines and real-time market insights workflows.
• Architect low-latency model serving services and real-time feature pipelines.
• Partner with Product, Data Science, and Engineering to shape roadmaps and boost team velocity.

Skills

ML engineering

Software development

End-to-end ownership

Mentoring

Tools

Python

Go

PyTorch

GBDTs

Spark/Databricks

Ray

Kafka

Tecton

Job description

Coinbase, Inc. is seeking a Senior Machine Learning Engineer (L5) to own end-to-end ML initiatives from problem formulation to production deployment and online experimentation.

You will build multi-stage models for personalized experiences across crypto, equities, and prediction markets, and collaborate with Product and Data Science to raise our engineering bar. You will design production LLM pipelines, intelligent notification systems, and low-latency serving services, while mentoring junior