Machine Learning Engineer (PhD or MS Required) 756
About the role
About Protegrity
Protegrity leads innovation by using AI and quantum-resistant cryptography to transform data protection across cloud-native, hybrid, on-premises, and open source environments. We leverage advanced cryptographic methods such as tokenization, format-preserving encryption, and quantum-resilient techniques to protect sensitive data.
Role Overview
We are seeking a Machine Learning Engineer with a PhD or Master's degree to join our GenAI team. This role is designed for a graduate with 2+ years of GenAI experience (or equivalent advanced research or technical projects) who wants to work hands-on building secure AI workflows and agentic systems.
Key Requirements
- PhD or Master's degree required
- 2+ years of GenAI experience or equivalent advanced research/technical projects
What You'll Do
Work at the intersection of innovation and collaboration to build secure AI workflows and agentic systems. Make a meaningful impact on the industry while working alongside some of the brightest minds, redefining how the world safeguards data and enabling organizations to thrive in a GenAI era.