Senior ML Engineer, Personalization at Scale (Remote)

Coinbase, Inc.

Trenton (NJ)

Remote

USD 214.000 - 225.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Equity
Bonus eligibility
Benefits (medical, dental, vision, 401

Zusammenfassung

Coinbase is seeking a Senior Machine Learning Engineer (L5) to own end-to-end ML initiatives, from problem formulation and feature engineering to production serving and online experimentation. You will partner with Product, Data Science, and Engineering to raise our engineering quality bar and use AI-native workflows to drive measurable business impact.

You will build multi-stage recommendation models, design intelligent notification systems, and mentor L3-L4 engineers in a fast-paced,

Qualifikationen

  • 5+ years of experience shipping production ML systems.
  • Proven track record in recommendations, ranking, or LLM applications.
  • Strong backend skills in Python or Go.
  • Experience with offline evaluation and online A/B testing.
  • Ability to drive complex projects end-to-end and mentor juniors.
  • Responsible use of generative AI with human oversight.

Aufgaben

  • Own end-to-end machine learning initiatives from problem formulation to deployment and A/B testing.
  • Build multi-stage recommendation, retrieval, and bandit models for personalized experiences.
  • Design intelligent notification, ranking, and targeting systems.
  • Develop production LLM pipelines and automated evaluation loops.
  • Architect low-latency model serving and real-time feature pipelines.
  • Mentor L3-L4 engineers and collaborate with cross-functional teams.

Kenntnisse

ML engineering
Production ML
Python
Go
A/B testing
Mentoring

Tools

PyTorch
Spark/Databricks
Ray
Kafka
Tecton
GBDTs

Jobbeschreibung

Coinbase is seeking a Senior Machine Learning Engineer (L5) to own end-to-end ML initiatives, from problem formulation and feature engineering to production serving and online experimentation. You will partner with Product, Data Science, and Engineering to raise our engineering quality bar and use AI-native workflows to drive measurable business impact.

You will build multi-stage recommendation models, design intelligent notification systems, and mentor L3-L4 engineers in a fast-paced,

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