Remote-First ML Intern: Build Production Crypto Models

Coinbase, Inc.; United States; Hybrid; USD 68,000 - 97,000; Full time

Job summary

United States Digital Space LLC is offering a 12-week summer internship in 2027 for a Machine Learning Engineer intern. The role is remote-first with quarterly in-person surges and strong collaboration with senior engineers on ML models and pipelines for blockchain-scale applications.

As an intern, you will own a research-to-production project, applying cutting-edge ML techniques and presenting findings to cross-functional teams.

Qualifications

• 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.

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

PyTorch

TensorFlow

Python

ML deployment

Git

Education

PhD in ML or related field

Tools

Git

Job description

United States Digital Space LLC is offering a 12-week summer internship in 2027 for a Machine Learning Engineer intern. The role is remote-first with quarterly in-person surges and strong collaboration with senior engineers on ML models and pipelines for blockchain-scale applications.

As an intern, you will own a research-to-production project, applying cutting-edge ML techniques and presenting findings to cross-functional teams.