Coinbase
Machine Learning Engineer Intern
Hybrid - San Francisco, CA +1 · Remote · Internship · Posted Sep 8, 2026
- Location
- Hybrid - San Francisco, CA
US - Remote Zone 1 (Job Requisitions Only) - Experience
- Not specified.
- Education
- Currently pursuing a Ph.D. in machine learning, deep learning, or a closely related field.
About the job
Build and deploy production-scale machine learning models and pipelines, leading a research-to-production project for security, personalization, and crypto or blockchain use cases.
What you'll do
- Develop, deploy, and operate production-scale ML models and pipelines.
- Lead an end-to-end research project applying modern ML techniques to a business problem.
- Collaborate with engineering and product teams, then present findings and recommendations to stakeholders.
What they ask for
- Currently pursuing a Ph.D. with published or in-progress research in machine learning, deep learning, or a closely related field.
- Proficiency building and training models with ML frameworks such as PyTorch or TensorFlow.
- Experience applying supervised, unsupervised, or reinforcement learning to structured or unstructured datasets.
- Familiarity with software engineering fundamentals, including version control, testing, and production-quality Python code.
Pay
$60 — $60 USD (hourly rate)
Tools
PyTorch, TensorFlow, Python
AI focus
Apply modern ML techniques to production problems involving platform security, personalization, and crypto or blockchain use cases; use generative AI responsibly with human oversight.
Model-written summary · the original posting is authoritative