Remote ML Engineer Intern — Research to Production

Coinbase Bridge; San Francisco (CA); Hybrid; USD 68,000 - 97,000; Full time

Job summary

Coinbase is hiring a Machine Learning Intern for a 12-week summer 2027 program. You will work on ML models and pipelines that enhance security, personalize user experiences, and enable new crypto use cases.

You’ll own a research-to-production project and apply cutting-edge ML techniques at blockchain scale. You will collaborate with senior engineers, scientists and product teams, presenting findings and recommendations at project milestones and demo days.

Qualifications

• PhD candidate with published or in-progress ML research.
• Experience building/training models with PyTorch or TensorFlow.
• Experience applying ML techniques to structured or unstructured data.
• Production-quality Python code and software engineering practices.
• Responsible use of generative AI with human oversight.

Responsibilities

• 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.

Skills

PhD candidate

PyTorch

TensorFlow

Supervised learning

Unsupervised learning

Reinforcement learning

Python

Version control

Testing

Education

PhD in ML

Tools

Git

Testing

Python

Job description

Coinbase is hiring a Machine Learning Intern for a 12-week summer 2027 program. You will work on ML models and pipelines that enhance security, personalize user experiences, and enable new crypto use cases.

You’ll own a research-to-production project and apply cutting-edge ML techniques at blockchain scale. You will collaborate with senior engineers, scientists and product teams, presenting findings and recommendations at project milestones and demo days.