Senior ML Engineer - Remote, Shape the Future of Finance

Coinbase, Inc.; Santa Fe (NM); Remote; USD 214,000 - 225,000; Full time

Job summary

Coinbase, Inc. is seeking a Senior Machine Learning Engineer (L5) to own end-to-end ML initiatives—from problem framing to production serving and online experimentation—within a fast-paced team.

You will partner with Product, Data Science, and Engineering to raise the engineering bar and deliver measurable business impact. Based in the United States (Santa Fe, NM as a context), the role emphasizes building scalable ML systems for recommendations, ranking, and real-time market insights.

Qualifications

• 5+ years of ML engineering experience shipping production ML systems.
• Proven domains: recommender systems, ranking, notification targeting, or production LLM apps.
• Strong backend/data skills in Python/Go and ML stack.
• Experience with offline evaluation and online A/B experiments.
• Ability to lead complex projects and mentor engineers.

Responsibilities

• Own end-to-end ML initiatives from problem framing to deployment and online testing.
• Build multi-stage models for recommendations, ranking, and targeting for various markets.
• Design notification orchestration and contextual matching systems for users.
• Develop production LLM pipelines and real-time market insights.
• Architect low-latency model serving and feature pipelines with reliability focus.
• Collaborate with Product/Data Science/Engineering to shape roadmap and raise engineering bar.

Skills

ML engineering

Python/Go

End-to-end projects

Mentoring

Tools

PyTorch

Spark/Databricks

Kafka

Ray

Tecton

Job description

Coinbase, Inc. is seeking a Senior Machine Learning Engineer (L5) to own end-to-end ML initiatives—from problem framing to production serving and online experimentation—within a fast-paced team.

You will partner with Product, Data Science, and Engineering to raise the engineering bar and deliver measurable business impact. Based in the United States (Santa Fe, NM as a context), the role emphasizes building scalable ML systems for recommendations, ranking, and real-time market insights.