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Machine Learning Engineer Intern

Coinbase
Location
Hybrid - San Francisco, CA
Posted
12 days ago
Department
Internships & Emerging Talent Positions
What they actually want (must-haves)
  • 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.
What the job really is

As a Machine Learning Engineer Intern at Coinbase, you will work with the Machine Learning team to develop, deploy, and operate machine learning models and pipelines at production scale. You will take ownership of a research-to-production project, applying modern ML techniques to solve business problems related to blockchain and crypto. Additionally, you will collaborate with senior engineers and product teams and present your findings to stakeholders at the end of your internship.

Benefits
  • Hourly Rate: $60 — $60 USD
Things to weigh
  • Internship duration is limited to 12 weeks during summer 2027
  • The internship is hybrid, requiring some in-person attendance for quarterly sessions
  • High expectations and an intense work environment may not suit everyone
Job score3/5
Benefits1/5
Freshness5/5
Career value4/5
Role clarity5/5
Pay transparency0/5

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