Coinbase

Senior Machine Learning Engineer, Core Automation

Coinbase

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $186,065 - $218,900 per year

Job Level

Senior

Tech Stack

AirflowApacheKafkaPythonSpark

About the role

  • The Core Automation Team is focused on developing AI infrastructure and automation solutions to enhance productivity and customer impact across Coinbase.
  • The mission is to streamline operations for customer support and compliance teams while delivering exceptional customer experiences.
  • As a Machine Learning Engineer on our team, you will play a key role using state-of-the-art AI models, frameworks, and tools, along with diverse data sources, including blockchain data.
  • You will help break down barriers to cryptocurrency adoption and shape the future of AI-powered customer interactions.
  • What you’ll be doing: explore advanced ML techniques (LLMs, deep learning); drive project execution; develop Python code; design scalable, secure systems; mentor teammates; troubleshoot issues; ensure architecture integrity.
  • Requirements include 5+ years of ML and software engineering experience, production services design, and proficiency in ML model types and related areas.

Requirements

  • 5+ years of experience in machine learning and software engineering.
  • Proven expertise in designing, building, scaling, and maintaining production services, with a strong focus on data processing/machine learning/analytics.
  • Hands-on experience with at least one ML model type, such as LLMs, GNNs, Deep Learning, Logistic Regression, or Gradient Boosting Trees.
  • Proficiency in one or more areas, including data mining, information retrieval, advanced statistics, natural language processing, or computer vision.
  • Ability to write high-quality, well-tested code that effectively addresses customer needs.
  • Passion for building an open financial system that connects the world.
  • Exceptional written and verbal communication skills, with a commitment to open and transparent cultural practices.