Machine Learning Engineer Intern
- San Francisco, United States
- Hybrid
- Internship
- Intern/New Grad
- Posted
Responsibilities
- 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
Requirements
- Familiarity with software engineering fundamentals including version control, testing, and writing production-quality Python code
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
- 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.
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