---
title: 'Software Engineer, Intern - Campus Recruiting 2027 at Domino Data Lab'
canonical: 'https://feeny.ai/job/software-engineer-intern-campus-recruiting-2027-domino-data-lab-new-york-yd54ed27phgf'
type: 'job'
last_seen: '2026-10-14'
---

# Software Engineer, Intern - Campus Recruiting 2027 at Domino Data Lab

- **Company:** Domino Data Lab
- **Location:** New York, NY
- **Compensation:** $50–$55/hr
- **Work type:** remote
- **Posted:** 2026-09-09
- **Last confirmed live:** 2026-10-14
- **Apply:** https://app.careerpuck.com/job-board/domino-data-lab/job/7992560?gh_jid=7992560

## Job description

## Who we are

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](http://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 2028 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

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 The US compensation range listed below represents the hourly rate for this internship, which is expected to last approximately 2.5–3 months. In addition to hourly compensation, interns may receive a monthly housing stipend for the duration of the internship. Additional details regarding the internship period, compensation, and housing stipend will be provided during the interview process.

Intern Pay Range $50—$55 USD

## About Domino Data Lab

## Company Overview
- **One-liner**: Domino Data Lab provides an enterprise AI platform that unifies tools, infrastructure, and governance to help organizations build, scale, and govern AI-powered applications.
- **Entity Type**: Private (Series F)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2013
- **Founders**: Nick Elprin (CEO), Christopher Yang, and Matthew Granade

## Core Business
- **Primary industry**: Enterprise AI / MLOps / Data Science and Machine Learning Platforms
- **Target customers**: B2B, highly regulated enterprises — including 20% of the Fortune 100, such as life sciences, financial services, insurance, and public sector organizations.
- **Mission**: "Unleash AI to address the world’s most important challenges" — helping enterprises accelerate science and research while reducing cost, risk, and complexity.

## Products & Services
- **[Model Factory]**: The core development environment for building AI systems and applications. Supports every method from statistical computing to agentic AI, with any coding assistant, language, or framework. [domino.ai](https://domino.ai/)
- **[Governance Center]**: Govern AI systems and applications to reduce risk and ensure compliance. Defines policies once and enforces them across the entire lifecycle with complete auditability, quality control, and cost visibility. [domino.ai](https://domino.ai/)
- **[App Hub]**: Scale AI-powered applications to thousands of users securely. Delivers governed applications to decision-makers with no rewrites from development to production. [domino.ai](https://domino.ai/)
- **[Agentic AI]**: Design autonomous agents with any framework, deploy them as governed applications, and manage them across their entire lifecycle — all in one platform. [domino.ai](https://domino.ai/)
- **[Coding Assistants]**: Adds traceability, reproducibility, and governance to everything produced by coding assistants. [domino.ai](https://domino.ai/)
- **[Model Risk Management (MRM)]**: A platform for the full model lifecycle, from development through ongoing regulatory compliance, enabling faster model validation with fewer audit findings. [domino.ai](https://domino.ai/)
- **[Document Intelligence]**: Build AI that reads, classifies, and extracts insight from documents at scale, enabling faster decisions from unstructured data at lower cost. [domino.ai](https://domino.ai/)
- **[Statistical Computing Environments (SCE) Solutions]**: A fully reproducible, audit-ready platform for SAS, R, and Python, designed for faster clinical trial submissions with lower compliance risk. [domino.ai](https://domino.ai/)

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Total Funding — Over $300 million raised (backed by notable investors). The platform is trusted by over 20% of the Fortune 100. [domino.ai](https://domino.ai/company)
- **Notable Investors/Partners**: Coatue Management, Great Hill Partners, Highland Capital, Sequoia Capital, and other leading investors. [builtin.com](https://builtin.com/company/domino-data-lab)
- **Growth Signals**: Named to Inc.’s 2026 Best Workplaces list. Recognized in the 2025 Gartner Magic Quadrant for Data Science and Machine Learning Platforms. Customer wins include the U.S. Navy (75% reduction in model deployment time), Moody's (50%+ reduction in deployment time), and UBS (5-year partnership for model risk management). [domino.ai](https://domino.ai/)

## Competitive Advantages
- **End-to-end, unified platform**: Combines development (Model Factory), governance (Governance Center), and deployment (App Hub) into a single platform — a holistic approach that reduces cost, risk, and complexity.
- **Built for highly regulated enterprises**: Domino's governance-by-default design is purpose-built for industries like finance, life sciences, and defense, where compliance and auditability are non-negotiable.
- **Proven impact at scale**: Customers report a 6x reduction in infrastructure costs, a 50% reduction in end-to-end model lifecycle time, 40% faster model development, and 75% faster model deployment. [domino.ai](https://domino.ai/)
- **Reproducibility by default**: Every experiment, model, and decision is captured automatically, allowing teams to reproduce any result without manual reconstruction — a critical moat in regulated environments.

## Strategic Focus
- **Agentic AI and AI-powered applications**: Domino is heavily investing in enabling agentic AI workflows and the deployment of AI-powered applications at scale, as evidenced by their new "Agentic AI" and "App Hub" product lines.
- **Deepening governance and compliance**: The "Governance Center" and "Model Risk Management" solutions indicate a strategic focus on making compliance a core feature, not an afterthought, for enterprise AI.
- **Industry-specific solutions**: Targeting specific verticals like life sciences (SCE solutions), financial services (MRM), and defense (U.S. Navy collaboration) to create tailored, high-value offerings.

## Why Work Here
- **Impact-driven mission**: Employees work on solving "the world’s most important problems" — from developing new medicines and more efficient crops to building safer defense systems.
- **Flexible work environment**: Domino operates a hybrid workspace with "flexible" on-site time. They have offices in San Francisco, London, and a remote hub in Argentina. The company states: "Feel supported to get your work done how and when you need to, regardless of your location." [builtin.com](https://builtin.com/company/domino-data-lab)
- **Generous benefits**: Premium medical, dental, and vision insurance (with a free option for family), competitive parental leave, flexible paid time off, annual education reimbursement, and commuter benefits. [domino.ai](https://domino.ai/careers)
- **Culture of ownership**: The company values "low ego and a high degree of ownership," seeking "self-starters" who can "own your outcome." [domino.ai](https://domino.ai/careers)
- **Award-winning workplace**: Domino was named to Inc.’s 2026 Best Workplaces list, signaling strong employee satisfaction and culture. [domino.ai](https://domino.ai/company)
- **Global team with 200+ employees**: A growing, mid-sized company where employees can feel the direct impact of their work. [builtin.com](https://builtin.com/company/domino-data-lab)

## Sources
1. [domino.ai](https://domino.ai/)
2. [domino.ai/company](https://domino.ai/company)
3. [domino.ai/careers](https://domino.ai/careers)
4. [builtin.com](https://builtin.com/company/domino-data-lab)
5. [linkedin.com](https://www.linkedin.com/company/domino-data-lab)

## Other roles at Domino Data Lab

- [Solution Architect](https://feeny.ai/job/solution-architect-domino-data-lab-united-states-qz3a5a1ew8rg) — United States
- [Staff Software Engineer, IDSM](https://feeny.ai/job/staff-software-engineer-idsm-domino-data-lab-us-canada-rn2kz3x1ez0h) — US Canada, Argentina
- [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-domino-data-lab-new-york-2wn91zhttk6b) — New York, NY
- [Forward Deployed Engineer, Life Sciences](https://feeny.ai/job/forward-deployed-engineer-life-sciences-domino-data-lab-barcelona-01vber1azarz) — Barcelona, Spain
- [Forward Deployed Engineer, Life Sciences](https://feeny.ai/job/forward-deployed-engineer-life-sciences-domino-data-lab-berlin-rp47rqqp3nq5) — Berlin, Germany
- [Forward Deployed Engineer, Intern - Campus Recruiting 2027](https://feeny.ai/job/forward-deployed-engineer-intern-campus-recruiting-2027-domino-data-lab-new-york-nghjdcdrhqe0) — New York, NY
- [Software Engineer - New Grad, 2027](https://feeny.ai/job/software-engineer-new-grad-2027-domino-data-lab-new-york-q2brhm8hwwn4) — New York, NY
- [Forward Deployed Engineer - New Grad, 2027](https://feeny.ai/job/forward-deployed-engineer-new-grad-2027-domino-data-lab-new-york-j3yv62ngtevw) — New York, NY
- [Technical Cloud Operations Lead](https://feeny.ai/job/technical-cloud-operations-lead-domino-data-lab-argentina-e9eqaetsaezd) — Argentina
- [IT Support Engineer](https://feeny.ai/job/it-support-engineer-domino-data-lab-india-eu-south-sq761rmx3bbg) — India EU South, United States