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DatologyAI
A Software Engineer, Cloud Infrastructure at DatologyAI is responsible for leading the design, implementation, and maintenance of a robust and scalable cloud infrastructure, primarily using AWS, to support the company’s data curation and machine learning model training processes. This role involves defining infrastructure-as-code best practices, managing Kubernetes systems, optimizing CI/CD pipelines, and collaborating with engineering and research teams to ensure efficient deployment and monitoring of resources. The position aims to enhance system reliability, security, and cost-efficiency across various deployment models.
Headquarters
Redwood City, California, United States
Company Size
1-10 employees
Founded
2023
DatologyAI is a data curation platform that specializes in automatically curating model training data. The company focuses on enhancing the quality of training datasets for machine learning models, aiming to accelerate the training process while improving performance and reducing associated costs. By leveraging advanced research, DatologyAI optimizes the selection and prioritization of high-value data points, thus enabling organizations to train better models more efficiently and at scale.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for DatologyAI.
DatologyAI didn’t post a salary, so this is our estimate from similar listings.
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