Jobs at DatologyAI

This role involves leading post-training data curation for foundation models, designing algorithms for data generation and improvement, and unifying pre-training and post-training curation to maximize model performance.

Guide customers in deploying and optimizing DatologyAI's platform across various environments, ensuring technical success while collaborating with Sales and Engineering.

Design and maintain reliable, secure cloud infrastructure using AWS and other cloud providers. Optimize CI/CD pipelines and ensure high availability.

This role involves leading pre-sales engagements, designing scalable solutions for customers, and evaluating ML model performance to enhance training efficiency.

The Research Scientist will explore improving deep learning models via training data interventions, collaborate with engineers and focus on customer-driven research outcomes.

As a Data Platform Engineer, you'll design and maintain scalable data systems, partner with teams on product direction, and ensure system reliability and security.

Design and build the Machine Learning infrastructure, ensuring reliable GPU workloads and data curation product functionality while collaborating with research and engineering teams.

As a Senior Infrastructure Engineer, you'll design and build scalable systems, support multi-cloud deployment, and enhance productivity through infrastructure improvements.

The Software Engineer will lead full product development for data curation tools, collaborate with teams, and maintain high-quality standards in product functionality and design.

The Customer Success Manager will manage post-sales relationships with AI customers, ensuring they achieve value from the platform and drive retention and upsell opportunities.

As the first Product Manager at DatologyAI, you'll develop the product strategy for an enterprise data curation platform, working closely with engineering and research teams to align product features with market needs. You'll manage the end-to-end product roadmap and engage with enterprise clients to refine the product offering.