Machine Learning Engineer Intern

About Us 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. The Role 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. Responsibilities 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 Requirements Currently pursuing a Bachelor's or Master's degree in a relevant field with 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 Have Currently pursuing a Ph.D. with research experience in machine learning 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 Compensation Hourly Rate: $60 USD #J-18808-Ljbffr Unchain Data