Machine Learning Engineer Intern

CryptoproNetwork; San Francisco, Northern (CA, KY); Hybrid; USD 32,732,000 - 46,618,000; Full time

Job summary

Coinbase's Machine Learning team in San Francisco seeks a Ph.D. candidate for a 12-week summer internship in 2027 to build ML models and pipelines that enhance security, personalize user experiences, and explore new use cases for crypto.

As an intern, you will own a research-to-production project, applying cutting-edge ML techniques to blockchain-scale problems and presenting results to cross-functional stakeholders at the conclusion of the internship.

Qualifications

• Ph.D. candidate in ML/deep learning with published or in-progress research.
• Experience building and training models using PyTorch or TensorFlow.
• Experience applying ML techniques to structured or unstructured data.
• Proficiency in Python, version control and testing.
• Responsible use of generative AI with human oversight.

Responsibilities

• Develop, deploy, and operate ML models at production scale.
• Lead an end-to-end research project from concept to production.
• Collaborate with senior engineers and product teams on ML applications for crypto.
• Present findings to cross-functional stakeholders at internship end.

Skills

Python development

Model training

PyTorch

TensorFlow

Production ML

Research to production

Education

Ph.D. candidate in ML/deep learning

Tools

PyTorch

TensorFlow

Job description

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 scale
• Drive an end-to-end research project applying modern ML techniques to solve a defined business problem
• Partner with senior engineers and product teams to identify new ML applications for blockchain and crypto use cases
• Present findings and recommendations to cross-functional stakeholders at the conclusion of your internship

Required Skills and Experience:

• Currently pursuing a Ph.D. with published or in-progress research in machine learning, deep learning, or a closely related field
• Demonstrated proficiency building and training models using ML frameworks such as PyTorch or TensorFlow
• Experience applying ML techniques including supervised learning, unsupervised learning, or reinforcement learning to structured or unstructured datasets
• Familiarity with software engineering fundamentals including version control, testing, and writing production-quality Python code
• Utilizes 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