5+ years of industry experience as a machine learning and software engineer.
Experience building backend systems at scale with a focus on data processing, machine learning, and analytics.
Experience with at least one ML model: LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc.
Working knowledge in one or more of the following: data mining, information retrieval, advanced statistics, natural language processing, or computer vision.
Exhibit core cultural values: add positive energy, communicate clearly, be curious, and be a builder.
Responsibilities:
Investigate and harness cutting-edge machine learning methodologies, including deep learning, large language models (LLMs), and graph neural networks.
Address diverse challenges such as fraud detection, feed ranking, recommendation systems, targeting, chatbots, and blockchain mining.
Develop and deploy robust, low-maintenance applied machine learning solutions in a production environment.
Create onboarding codelabs, tools, and infrastructure to democratize access to machine learning resources across Coinbase.