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Salary
$120k per year
Location
Remote/Hybrid (San Francisco, United States)
Seniority
Intern
Employment
Internship
Overview
Company
Impact
Profile match
Coinbase is an American cryptocurrency company founded in 2012 that operates the largest regulated digital asset exchange in the United States. It serves retail customers through a consumer app and advanced trading interface, institutions through prime brokerage and custody, and developers through infrastructure including the Base layer-two network and staking services. Listed on Nasdaq since its 2021 direct listing and run as a remote-first company, it also co-founded the USDC stablecoin with Circle and derives a growing share of revenue from subscriptions, custody fees and blockchain rewards rather than trading commissions alone.

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

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: ViewEmployee Rights,Know Your Rights, andE-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 ourCandidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.

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