Machine Learning Engineer Intern
- Pay
- $60 per hour
- Location
- San Francisco, CA · Hybrid
- Job type
- Internship
- Level
- Entry level
- Education
- Doctorate
- Listed
- 30 days ago
Skills & highlights for this role
- PyTorch
- TensorFlow
- supervised learning
- unsupervised learning
- Python
Also useful
- reinforcement learning
- version control
- testing
About the role
Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it's a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called "surges." learn more about working at Coinbase.
This is a 12-week internship during summer 2027.
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 and benefits
Pay Transparency Notice: Depending on your work location, the target hourly rate for this position can range as detailed below.
Hourly Rate
$60—$60 USD
- Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.
- Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.
- US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation.
- Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial.
- Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.
From Coinbase's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
What is the salary for the Machine Learning Engineer Intern role at Coinbase?
The Machine Learning Engineer Intern posting at Coinbase states compensation of $60 per hour. It is listed as a internship position. Final pay may depend on location, experience, and interview evaluation on Coinbase's official career site.
Where is the Machine Learning Engineer Intern job at Coinbase located?
This Machine Learning Engineer Intern position at Coinbase is located in San Francisco, CA (Hybrid). Always check Coinbase's application page for specific state eligibility or relocation policies.
What qualifications are required for Machine Learning Engineer Intern at Coinbase?
For the Machine Learning Engineer Intern role, Coinbase highlights a doctorate; experience with PyTorch, TensorFlow, supervised learning, unsupervised learning, Python. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Machine Learning Engineer Intern position at Coinbase?
This listing links directly to Coinbase's Greenhouse application page. You can apply directly on Coinbase's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.