Join Coinbase as a Machine Learning Engineer Intern to build ML models and pipelines for enhancing platform security and user experience.
Posted by employer 3 days ago
First seen on Joblaze 2 days ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs.
Requirements
- Education
- PhD
Not disclosed in this posting: years of experience, visa sponsorship.
Joblaze summary
In this internship, the Machine Learning Engineer will focus on developing and deploying machine learning models and pipelines that enhance security and user experience on Coinbase's platform. Candidates should have a strong background in machine learning, particularly with frameworks like PyTorch or TensorFlow, and experience with various ML techniques. This role is ideal for Ph.D. students with research experience in machine learning who are eager to apply their skills in a fast-paced, innovative environment. Coinbase emphasizes collaboration, with opportunities to present findings to cross-functional teams.
Joblaze insights
- Listed 2 days ago on Joblaze — tracked directly from Coinbase's career page.
- Coinbase has 230 other open roles including Senior Software Engineer, Developer Infrastructure, Payments Risk Analyst I, Customer Support Specialist II.
- 6527 active Python roles on Joblaze right now.
- 481 active PyTorch roles on Joblaze right now.
- 223 active TensorFlow roles on Joblaze right now.
- Typical Python salary we track runs $125,000–$190,800 (median $160,000, across 3229 roles). See Python salary trends
Quick facts
- Is the Machine Learning Engineer Intern role remote?
- It's hybrid — Coinbase expects some on-site time in Hybrid - San Francisco, CA.
- What's the salary range?
- Coinbase lists $60–$60 for this role.
- Where is the role based?
- Coinbase is hiring for this position in Hybrid - San Francisco, CA.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: PyTorch, Python, TensorFlow.
- What seniority level is this role?
- Coinbase targets intern candidates for this position.
- Is this full-time or contract?
- Internship for this Machine Learning Engineer Intern role at Coinbase.
From the original posting
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
#LI-Hybrid
- 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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