Machine Learning Engineer Intern
Ready to be pushed beyond what you think you’re capable of?
At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.
To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems.
Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be.
While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.
This is a 12-week internship during summer 2026.
The Coinbase Machine Learning team is committed to developing sophisticated ML models that make our platform more secure, expand usage of Coinbase through personalized recommendations, and improve the user experience for our customers. Our mission is to keep building scalable, adaptive, blockchain aware ML systems that help our users explore and discover new use cases for Crypto on Coinbase and on the blockchain.
What you’ll be doing (ie. job duties):
- Hands-on develop, deploy, and operate Machine Learning models and pipelines at scale
- Drive research project on applying cutting edge ML technology to solve real world problems
- Work with our senior engineers and collaborate with our product partners to identify and solve new use cases for ML on blockchain
What we look for in you (ie. job requirements):
- Currently pursuing a Ph.D. with research experience in machine learning
- Solid software engineering skills
- Experience with coding on ML platforms (e.g., Tensorflow, PyTorch)
- Experience with basic ML techniques (e.g., supervised and unsupervised learning)
- Willingness to learn and adapt to new technologies and challenges
Nice to haves:
- Crypto-forward experience, including familiarity with on-chain activity such as interacting with Ethereum addresses, using ENS, and engaging with dApps or blockchain-based services
- Interest in DNNs, GANS, GNNs and Time Series modeling
Job #: GETR00ML26
Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility + benefits (including medical, dental, vision and 401(k)).
Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.
Commitment to Equal Opportunity
Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Employee Rights and the Know Your Rights notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here.
AI Disclosure
For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description.
For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate.
The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com
Average salary estimate
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Coinbase is an American publicly traded company operating a cryptocurrency exchange platform. They are a distributed company and all employees operate via remote work.
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