Staff Software Engineer, IDSM

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 domino. ai What we are building The Model Development Lifecycle Team is building a cutting-edge platform to simplify the entire machine learning journey.

From development and training to deployment and management, we empower teams to turn data into actionable insights. Our platform supports: - Seamless API Integration : Deploy models as APIs for consistent use across applications, whether on-premises, in enterprise infrastructures, or through third-party hosting - Collaboration and Discoverability : Use our model registry to version, store, and easily find models across the organization - Scalable Training Resources : Leverage advanced tools like GPUs, Ray, and Spark to meet the needs of diverse AI projects By supporting organizations in developing, registering, and scaling AI models, we enable impactful insights and innovation across the enterprise. What your impact will be In your first year, you will - Collaborate with customers to design solutions for deploying models to platforms like AWS SageMaker and Azure ML - Introduce a “Data Science Catalog” for discovering and summarizing global data science resources within Domino - Integrate model monitoring to provide a holistic view of deployment health and performance - Enhance tagging capabilities across Domino entities to improve discoverability and tracking - Expand LLM hosting capabilities to address customer needs for scale, performance, and logging What we look for in this role - 8+ years previously in a software engineering individual contributor role - Strong Background in AI/ML: Extensive experience or knowledge in designing, building, and deploying artificial intelligence and/or machine learning models, with a deep understanding of model development, training, optimization, and lifecycle management. Proficient in leveraging advanced tools, frameworks, and platforms to create scalable AI/ML solutions that drive impactful outcomes. Skilled in applying state-of-the-art algorithms and techniques to solve complex problems across diverse domains. - Building Scalable Systems : Hands-on experience developing and managing high-performance back-end systems in distributed computing environments - Collaboration Across Teams : Working closely with cross-functional teams to integrate systems with front-end interfaces and third-party services - API Development : Designing and implementing secure, scalable APIs (e. g.