Domino Data Lab
Forward Deployed Engineer, Intern - Campus Recruiting 2027
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Apply to Forward Deployed Engineer, Intern - Campus Recruiting 2027 at Domino Data LabJob details
- Work type
- Remote
- Visa
- Sponsorship available
- Posted
- 2 weeks ago
- Apply on
- job-boards.greenhouse.io
About this role
Domino Data Lab builds software that helps AI-driven organizations develop and operate advanced data science and AI solutions at scale. The Forward Deployed Engineer Intern will work directly with customers and internal teams to deliver value from the Domino platform by writing code, designing solutions, and supporting real-world environments.
What you'll do:
- 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
- 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
What they're looking for:
- 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
Benefits:
- **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.
- Interns may receive a monthly housing stipend for the duration of the internship.
- You’ll gain mentorship and practical experience.
- 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.
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