Senior ML Engineer – Personalization & Real-Time AI (Remote)

Coinbase; Phoenix (AZ); Hybrid; USD 214.000 - 225.000; Vollzeit

Zusammenfassung

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

You will build multi-stage models and intelligent notification systems serving millions of users, while mentoring L3-L4 engineers and shaping the team roadmap with Product and Data Science partners.

Qualifikationen

• 5+ years of experience shipping production ML systems.
• Expertise in recommendation systems, ranking, or LLM applications.
• Strong Python or Go backend skills with modern ML stacks (PyTorch, Spark/Databricks, Kafka).
• Deep knowledge of offline evaluation, training-serving skew, online A/B experiments.
• Proven ability to lead complex projects end-to-end and mentor engineers.
• Responsible use of generative AI with human oversight.

Aufgaben

• Own end-to-end ML initiatives from problem framing to production deployment and A/B testing.
• Build multi-stage recommendation, retrieval, and contextual bandit models at scale.
• Design notification orchestration, ranking, and targeting for timely alerts.
• Develop production LLM pipelines, grounding workflows, and evaluation loops.
• Architect low-latency model serving and real-time feature pipelines.
• Partner to shape roadmap, mentor engineers, and automate workflows.

Kenntnisse

ML engineering

Production ML

Python

Go

PyTorch

Spark/Databricks

Kafka

Ray

Tecton

Recommendation systems

Contextual bandits

LLM applications

Tools

Databricks

Spark

Kafka

Ray

Tecton

Python

Go

Jobbeschreibung

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

You will build multi-stage models and intelligent notification systems serving millions of users, while mentoring L3-L4 engineers and shaping the team roadmap with Product and Data Science partners.