About the role#
As a Forward Deployed Engineer Intern, you will spend 10 to 12 weeks helping customers gain value from the Domino platform. This role combines software engineering with customer interaction. You will gain hands-on experience by working on projects that support real-world environments in sectors like finance, healthcare, and government.
What you'll do#
- Write code and design solutions.
- Work directly with customers and internal teams.
- Support high-stakes environments.
What you'll need#
- Pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field.
- Graduation date of Spring 2027 or later.
- Experience coding in at least one industry-standard language, preferably Python or R.
- Strong problem-solving and communication skills.
- Interest in customer-facing work and a genuine curiosity for AI, ML, and their real-world applications.
Location & details#
- Term: Summer 2027.
- Modality: Remote.
- Employment: Full-time.
- Compensation: $50 to $55 per hour.
- Sponsorship: Visa sponsorship may be available based on business needs and individual assessment.
About Domino Data Lab
Domino Data Lab develops software for model-driven business operations. Founded in 2013, the company is based in San Francisco and employs between 201 and 500 people. Its Enterprise MLOps platform supports data science initiatives across sectors like medicine, agriculture, and risk management. The firm is backed by venture capital investors including Sequoia Capital and Dell Technologies Capital.
How to get in at Domino Data Lab
Securing a role at Domino Data Lab requires speed, as the most competitive positions often fill quickly. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you apply among the first. Early applicants get seen before the pile grows, which helps you stand out in a crowded field. You can reach out to the recruiters behind the company's roles directly to ask about the position or a referral. Intern Insider surfaces these contacts, which materially improves your response rates compared to applying into a general queue.
