Senior ML Engineer — Remote, End-to-End Finance AI

Coinbase, Inc.; Salt Lake City (UT); Remote; USD 214,000 - 225,000; Full time

Benefits offered by this job

Equity

Bonus eligibility

Medical, dental, vision

401(k)

Job summary

Coinbase is seeking a Senior Machine Learning Engineer to own end-to-end ML initiatives, from problem framing to production serving and A/B testing. You will build multi-stage recommendation and ranking models for millions of users and design intelligent notification systems to enhance user experience.

Partnering with Product, Data Science, and Engineering, you’ll shape the team roadmap, mentor engineers, and deploy AI-native workflows with measurable business impact.

Qualifications

• 5+ years of experience in machine learning engineering and software development.
• Proven track record in recommendation systems, ranking, or production LLM apps.
• Strong backend skills in Python or Go and modern ML/data stacks.

Responsibilities

• 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 and ranking systems to improve user engagement and experience.
• Develop production LLM pipelines and real-time market insights for personalized content.
• Architect low-latency services, lead incident response, and raise reliability standards.
• Collaborate with Product, Data Science, and Engineering to shape roadmap and mentor engineers.

Skills

ML engineering

Python

Go

Recommendation systems

A/B testing

Tools

PyTorch

Spark/Databricks

Kafka

Ray

Tecton

Job description

Coinbase is seeking a Senior Machine Learning Engineer to own end-to-end ML initiatives, from problem framing to production serving and A/B testing. You will build multi-stage recommendation and ranking models for millions of users and design intelligent notification systems to enhance user experience.

Partnering with Product, Data Science, and Engineering, you’ll shape the team roadmap, mentor engineers, and deploy AI-native workflows with measurable business impact.