Machine Learning Engineer Intern
Hybrid - San Francisco, CA
- Pay
USD 60/hour — pay source
Hourly Rate: $60—$60 USD Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.
Read the full posting- Work setting
Working pattern needs review — work setting source
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.
Listed location: Hybrid - San Francisco, CA
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingDevelop, deploy, and operate ML models and pipelines at production scale
Drive an end-to-end research project applying modern ML techniques
Partner with senior engineers and product teams to find new ML uses in crypto
Present findings and recommendations to cross-functional stakeholders
From the employer’s posting
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
What you’ll bring
All qualificationsCore experience
- Currently pursuing a Ph.D. with published or in-progress ML research
- Proficiency building and training models in PyTorch or TensorFlow
- Experience with supervised, unsupervised, or reinforcement learning on datasets
- Software engineering basics: version control, testing, production-quality Python
Qualification wording
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
Education & alternatives
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
Tools in this posting
- Python
- PyTorch
- TensorFlow
Source — Tool mentions in context
- 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.
- 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
Posting record
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- Live
- First seen by us
- Sep 9, 2026 · 50 days ago
- Recorded sightings
- 83
- Last seen by us
- Oct 28, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on www.coinbase.com. The employer’s form will show what is required.
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Job description
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
- 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.
Source details
Source notes
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- Pay
Hourly Rate: $60—$60 USD Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.
- Location & working pattern
Hybrid - San Francisco, CA
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.
More source context
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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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