Domino Data Lab

About the Company

Domino powers model-driven business for the world’s most advanced enterprises, including over 20% of the Fortune 100. Our Enterprise MLOps platform speeds up the development and deployment of data science work while increasing collaboration and governance, to scale data science into a competitive advantage. Our platform enables thousands of data scientists to develop better medicines, grow more productive crops, adapt risk models to major economic shifts, build better cars, improve customer support, or simply recommend the best purchase to make at the right time. Domino is backed by leading venture capital firms: Sequoia Capital, Bloomberg Beta, Coatue Management, Dell Technologies Capital, Highland Capital Partners, In-Q-Tel, and Zetta Venture Partners.

Listed Jobs

Company Name

Domino Data Lab

Job Title

Forward Deployed Engineer, Intern - Campus Recruiting 2026

Job Description

Job Title: Forward Deployed Engineer, Intern – Campus Recruiting 2026 Role Summary: Intern applies software engineering and customer‑centric skills to implement and support AI/ML solutions on the Domino platform for enterprise clients across healthcare, life sciences, finance, and government. The role spans 10–12 weeks, blending coding, solution design, and direct client engagement to deliver measurable value. Expectations: • Graduate in Spring 2027 or later and be enrolled in a B.S./M.S. program in Data Science, Computer Science, or a related field. • Demonstrate a strong interest in real‑world AI/ML applications. • Engage in customer‑facing activities, providing technical support and gathering feedback to inform product improvements. • Deliver tangible contributions to high‑impact projects from the outset. Key Responsibilities: 1. Collaborate with client teams to understand requirements and translate them into workable software features. 2. Design, develop, and test code (Python/R) that integrates with the Domino platform for model training, deployment, and MLOps workflows. 3. Support clients in production environments, addressing performance, scalability, and reliability issues. 4. Document solutions and create user artifacts (e.g., scripts, notebooks, setup guides). 5. Participate in sprint planning, stand‑ups, and retrospective meetings with cross‑functional engineering and product groups. 6. Share insights from client interactions to help shape platform enhancements. Required Skills: • Proficiency in Python or R, and familiarity with data science libraries (e.g., pandas, scikit‑learn, TensorFlow/PyTorch). • Strong problem‑solving mindset and ability to work independently and collaboratively. • Excellent written and verbal communication skills, suitable for client presentations and technical documentation. • Understanding of basic ML concepts and model deployment principles. • Ability to adapt to fast‑moving, high‑stakes projects. Required Education & Certifications: • Current enrollment in a Bachelor’s or Master’s degree program in Data Science, Computer Science, or a related field. • Expected graduation Spring 2027 or later. • No specific professional certifications required.

New york, United states

Remote

Fresher

24-11-2025