Experience the power of Enterprise AI with Domino Data Lab. Accelerate research, deploy models, and foster collaboration among code-first data science teams. Backed by Sequoia.
About the role
As a Software Engineer Intern at Domino, you’ll spend 10-12 weeks working alongside talented engineers from all backgrounds to help build the platform that powers how data science is done at some of the world’s largest companies.
What they're looking for
- Strong computer science fundamentals and experience with modern software engineering practices (algorithms, data structures, operating systems, networking, etc.)
- Proficiency with one or more of our core technologies: Python, Go, TypeScript, React, GraphQL, Kubernetes, Docker, Postgres, Redis, Kafka
- Excitement about learning new technologies and contributing to scalable enterprise systems
- Graduating in Spring 2028 or later, currently pursuing a Bachelor’s or Master’s degree in Computer Science or a related field
More about this role
At Domino, we build solutions that help the largest, highly regulated organizations adopt AI to accelerate mission-critical use cases. Our platform integrates a streamlined model and app development environment, advanced model, agent, and app hosting capabilities, and novel governance capabilities providing regulator-ready AI at scale. Our customers — like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy — are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for over a decade but are still a small team operating with the spirit of a startup. In the world of AI today, we believe that the future is still being invented — and we want to be the ones building it. For more information, visit www.domino.ai
As a Software Engineer Intern at Domino, you’ll spend 10-12 weeks working alongside talented engineers from all backgrounds to help build the platform that powers how data science is done at some of the world’s largest...
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