DatologyAI

3+ years of deep learning research experience, strong fundamentals in deep learning, and practical experience in areas such as data pruning and curation

3-6 years of design experience with strong portfolio, proficiency in Figma, and strong visual instincts

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

5+ years of product management experience, strong technical foundation, experience building enterprise software or AI/ML tooling at a senior or staff level

4+ years of experience, strong practical expertise in ML model training, strong programming skills in Python

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

5+ years of experience, meaningful experience with leading and building production ML infrastructure, and strong knowledge of hardening cloud native and K8s workloads

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

Experience in large-scale infrastructure, proficiency in bash, Kubernetes, Python, and/or Terraform, and experience working with cloud platforms

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