Coinbase•11 days ago
Machine Learning Engineer Intern
Recruiter Fit Breakdown & Candid Summary
1
This is a specialized 12-week internship for Ph.D. students focusing on applied machine learning research and production systems at Coinbase.
2
Candidates must be currently pursuing a Ph.D. with relevant published or in-progress research in machine learning, deep learning, or closely related fields.
3
The role involves owning an end-to-end research project, writing production-quality Python code, and collaborating with senior engineers.
4
Individuals not currently enrolled in a Ph.D. program or lacking deep learning frameworks experience should not apply.
Role Responsibilities
- 1Develop, deploy, and operate machine learning models and pipelines at production scale
- 2Drive an end-to-end research project applying modern ML techniques to solve a defined business problem
- 3Partner with senior engineers and product teams to identify new ML applications for blockchain and crypto use cases
- 4Present findings and recommendations to cross-functional stakeholders at the conclusion of your internship
Skills Matrix
Must-Have Skills
Ph.D. in Machine Learning
PyTorch
TensorFlow
Python
Machine Learning(ML)
Nice-to-Have Skills
No optional skills specified for this role.
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