ML Engineer Intern: Summer 2027 (Research-to-Production)

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

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.