Machine Learning Engineer Intern
CoinbaseAdded 1mo ago
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Quick summaryby newgrad.ai
What you'll do
- Build and maintain ML models and data pipelines ready for production environments
- Own a complete research initiative using advanced ML methods to address specific business challenges
- Collaborate with experienced engineers and product staff on new blockchain and crypto ML opportunities
- Share project results and insights with teams across the organization
What they're looking for
- Doctoral candidate with published or ongoing research in machine learning or related areas
- Hands-on experience constructing and training neural networks with PyTorch or TensorFlow
- Background applying classification, clustering, or reinforcement learning to various data types
- Solid grasp of coding practices like git, unit testing, and writing maintainable Python
Pay and perks
- $60/hour
- 12-week summer 2027 position based in San Francisco with quarterly in-person collaboration weeks
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."
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
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.
From Coinbase's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.
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