DatologyAI
DatologyAI builds tools to automatically select the best data on which to train deep learning models. Our tools leverage cutting-edge research—much of which we perform ourselves—to identify redundant, noisy, or otherwise harmful data points. The algorithms that power our tools are modality-agnostic—they’re not limited to text or images—and don’t require labels, making them ideal for realizing the next generation of large deep learning models. Our products allow customers in nearly any vertical to train better models for cheaper.
Open Positions at DatologyAI
5 open positions
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.