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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
- 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 2027 or later, currently pursuing a Bachelor’s or Master’s degree in Computer Science or a related field
What we value
- We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply
- We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
- We believe in individuals who seek truth and speak the truth and can be their whole selves at work
- We value all of you that believe improving is always possible. At Domino, everything is a work in progress – we can do better at everything
- We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company
#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.
Domino Data Lab San Francisco, California, USA Office
We're located in the SoMa district of San Francisco. Located near the CalTrain station and Oracle Park, there's a lot to do around the area!
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
