DatologyAI
DatologyAI builds software that automatically curates and selects training data for deep learning, removing redundant or harmful examples across text, image, and other modalities. Its data-curation suite helps ML teams train better models with fewer labels and lower compute by optimizing large, unlabeled datasets. Founded in 2023 and headquartered in Redwood City, California, the privately held company sells its tools to organizations building large-scale AI systems across industries.
Open Positions at DatologyAI
6 open positions
DatologyAI is hiring a highly technical Forward Deployed AI Engineer to lead post-sales deployment, operation, and adoption of its data curation platform in complex cloud, on-premises, and hybrid environments. The role combines customer technical ownership, distributed systems problem-solving, and cross-functional roadmap influence.
Join DatologyAI as a seasoned Full-Stack Software Engineer building customer-facing data curation products, visualizations, and internal tools from the ground up. You’ll work closely with founders, customers, and cross-functional teammates to drive major product and technical initiatives.
Lead the cloud infrastructure powering DatologyAI’s large-scale model training, inference, and data curation systems. You’ll build multi-cloud and Kubernetes-based platforms, improve reliability and security, and shape infrastructure practices as a key early hire.
Lead technical pre-sales engagements and customer PoCs that demonstrate how DatologyAI’s data curation platform improves model quality, training efficiency, and deployment economics. You’ll work directly with ML teams on training strategy, evaluations, technical demos, and productionization plans.
Lead the data platform and backend infrastructure that enables DatologyAI to curate massive training datasets for machine learning models. This early senior role combines hands-on data engineering, technical leadership, and close partnership with the founders and research team.
Join DatologyAI as an Infrastructure Engineer building secure, reliable, multi-cloud platforms for data curation, model training, and inference. This early senior hire will shape core technical decisions and empower the engineering team with excellent infrastructure and tooling.