Who we are
At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility — all of which make data science teams more productive, reduce time to value, and ensure compliance. 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 a decade but are still a small team operating with the spirit of a startup. Especially 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
What your impact will be
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.
Our interns are versatile and eager to learn, contributing across the full stack from backend services and APIs, to frontend features, to integrations with cloud providers like AWS, Azure, and GCP. Throughout your internship, you’ll gain hands-on experience in designing, coding, testing, and delivering features that support real-world enterprise use cases. You’ll work closely with experienced engineers, receive mentorship, and have opportunities to learn new technologies while making a meaningful impact on your team.
At Domino, we trust our interns to contribute to important and visible projects from the start. You’ll leave the program with practical engineering experience, exposure to scalable enterprise systems, and an understanding of what it means to build software at the intersection of data science and AI/ML.
What we look for in this role
What we value
#LI-Remote
The annual US base salary range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.