Machine Learning Engineer Intern

This is a 12-week internship during summer 2027.You'll join Coinbase's Machine Learning team and work alongside senior engineers building ML models and pipelines that make our platform more secure, personalize user experiences, and unlock new use cases for crypto. As an MLE intern, you'll take ownership of a research-to-production project, applying cutting-edge ML techniques to real-world problems at blockchain scale.What you'll do:Develop, deploy, and operate machine learning models and pipelines at production scaleDrive an end-to-end research project applying modern ML techniques to solve a defined business problemPartner with senior engineers and product teams to identify new ML applications for blockchain and crypto use casesPresent findings and recommendations to cross-functional stakeholders at the conclusion of your internshipRequired Skills and Experience:Currently pursuing a Ph.D. with published or in-progress research in machine learning, deep learning, or a closely related fieldDemonstrated proficiency building and training models using ML frameworks such as PyTorch or TensorFlowExperience applying ML techniques including supervised learning, unsupervised learning, or reinforcement learning to structured or unstructured datasetsFamiliarity with software engineering fundamentals including version control, testing, and writing production-quality Python codeUtilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.Pay Transparency Notice:Depending on your work location, the target hourly rate for this position can range as detailed below.Hourly Rate:$60—$60 USD#J-18808-Ljbffr