DatologyAI specializes in developing automated tools to select optimal data for training deep learning models. By identifying and filtering out redundant or harmful data points through cutting-edge research and algorithms, DatologyAI enables customers across various industries to build more effective and cost-efficient models without the need for labeled data.
Open Positions
Software Engineer, Data Infrastructure
5-10 years of experience in Data Engineering, including leading and building production data systems, building and managing scalable data processing solutions, and maintaining a high quality bar for design, correctness, and testing
Software Engineer, Machine Learning Infrastructure
5+ years of experience, meaningful experience with leading and building production ML infrastructure, and strong knowledge of hardening cloud native and K8s workloads
Software Engineer, Infrastructure
Experience in large-scale infrastructure, proficiency in bash, Kubernetes, Python, and/or Terraform, and experience working with cloud platforms
Research Scientist, Post-Training
3+ years of deep learning research experience, experience with post-training large vision, language, and multimodal models, and strong understanding of the fundamentals of deep learning
Forward Deployed AI Engineer
5+ years of technical experience, strong background in distributed systems and data infrastructure, experience with ML/AI workflows and cloud platforms
Product Marketing Manager
BS/MS in Computer Science, Engineering, or equivalent experience; 5+ years in technical marketing; deep expertise in machine learning
Solutions Engineer (AI/ML, Pre-Sales)
4+ years of experience, strong practical expertise in ML model training, strong programming skills in Python
Software Engineer, Cloud Infrastructure
Lead design, build, and operation of highly available, secure, and scalable cloud infrastructure; implement infrastructure-as-code best practices; design and manage Kubernetes-based systems; optimize CI/CD pipelines; build monitoring, alerting, and logging systems
Software Engineer, Full-Stack
Meaningful experience with leading and building production full-stack and backend experiences. Proficiency in JavaScript/TypeScript, React, other web technologies, and Python. Ability to own problems end-to-end and pick up missing knowledge