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. 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: transitioning legacy workflows into modern, open-source environments, building computer vision pipelines, or embedding governance frameworks into enterprise-scale MLOps systems. 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 junior 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
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The annual US base salary range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.
Domino Data Lab accelerates research, speeds model deployment, and increases collaboration for code-first data science teams at scale, all in one platform.
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