Forward Deployed Engineer - New Grad, 2027

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 new-grad Forward Deployed Engineer at Domino, you’ll work directly with customers to help them realize value from the Domino platform while developing custom AI solutions for mission-critical business operations. Unlike traditional engineering roles, FDEs blend data science, devops, & software engineering skills with customer empathy and domain awareness. You’ll partner with experienced FDEs to solve meaningful problems for our customers: enhancing legacy workflows with AI capabilities. You’ll get hands-on experience writing code, designing solutions, and delivering impact in real-world, high-stakes environments from healthcare and life sciences to finance, government, and beyond. At Domino, we trust our new-grad engineers to contribute to critical and high-visibility projects from the start. You’ll have the opportunity to make a meaningful impact on your team and the company as a whole beginning on day one. 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, 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 The annual US base salary range for this role is listed below. This salary range will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. In addition to base salary, this role may be eligible for a sign-on bonus and/or relocation assistance, which are not reflected in the salary range listed below. Additional benefits for this role may include: equity; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. New Grad Pay Range $150,000—$165,000 USD