Machine Learning Engineer Intern
In short. Machine Learning Engineer Intern at Coinbase: an internship role, hybrid, based in San Francisco, CA. Posted salary: $60/hr. Main work: Develop, deploy, and operate machine learning models and pipelines at production scale. Skills mentioned: Python, Machine learning, Git, Generative AI. Posted Nov 13, 2026, checked on the employer's site 21 min ago.
- Early applicant
- Salary listed
Opens Coinbase's own application page. No sign-up on Sudo Get Job.
Summary
- 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
Quoted from Coinbase's description, not rewritten.
Skills mentioned
About the role
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.
Req ID: P78143
#LI-Hybrid
Pay Transparency Notice: Depending on your work location, the target hourly rate for this position can range as detailed below.Hourly Rate:$60—$60 USDApply here Machine Learning Engineer InternOpens Coinbase's own application page. No sign-up on Sudo Get Job.
