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 Forward Deployed Engineer Intern at Domino, you’ll spend 10–12 weeks working directly with our customers and teams to help them realize value from the Domino platform. Unlike traditional engineering internships, FDE interns blend software engineering skills with customer empathy and domain awareness.
Throughout your internship, you’ll get hands-on experience writing code, designing solutions, and supporting real-world, high-stakes environments spanning healthcare, life sciences, finance, government, and beyond.
At Domino, we believe in giving interns opportunities to contribute to impactful and visible projects from the start. You’ll gain mentorship, practical experience, and a strong understanding of what it means to be an FDE, all while making a meaningful contribution to our customers and teams.
What we look for in this role
- Passion for AI/ML, data science, and its real-world applications
- Experience coding in at least one industry-standard programming language (Python or R strongly preferred)
- Strong communication and problem-solving skills, with an interest in customer-facing work
- Graduating in Spring 2027 or later, pursuing a Bachelor’s or Master’s degree in Data Science, 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
Visa Sponsorship: Visa sponsorship (including H-1B and other employment-based visa categories) may be available for this position depending on business considerations and the role's requirements. Sponsorship eligibility is assessed on an individual basis and is not guaranteed for any role or candidate. All applicants are encouraged to apply regardless of current or future immigration status.
#LI-Remote
Coding experience in Python or R preferred, strong communication and problem-solving skills, and pursuit of a bachelor's or master's degree in data science, computer science, or a related field.
Key Responsibilities
- writing code
- designing solutions
- supporting customers
Skills & Tools
Python, R
Job Details
- Category: Engineering
- Seniority: No Prior Experience Required
- Commitment: Internship, Full Time
- Workplace: Remote — New York City, New York, United States
- Salary: USD 104,000 – 114,400 / year
- Languages: English
Benefits
- Visa sponsorship
- Relocation assistance
About Domino Data Lab
A software company providing platforms for data science, machine learning operations, and artificial intelligence solutions. — Industry: Information Technology