Senior Machine Learning Engineer

ZeroFox is revolutionizing cybersecurity through their Digital Risk Protection SaaS platform, combining advanced AI analytics with comprehensive threat intelligence. As a Senior Machine Learning Engineer, you'll join a dynamic team of software engineers, cybersecurity experts, and data scientists working on cutting-edge solutions. The role focuses on developing and deploying sophisticated machine learning models for NLP and computer vision applications, directly contributing to making the internet safer.

The position offers a unique opportunity to work with industry experts while developing ML solutions that enhance customer protection across the surface, deep, and dark web. You'll be responsible for defining ML roadmaps, conducting research, and implementing advanced models while mentoring junior engineers. The role requires strong technical expertise in Python, ML frameworks, and a solid understanding of statistics and scientific methods.

ZeroFox offers a collaborative, people-first culture with centers of excellence worldwide. The company is experiencing significant growth, backed by private equity funding and expanding investments in AI. Benefits include competitive compensation, health insurance, parental leave, and regular team bonding activities. The hybrid work environment in Santiago, Chile, provides flexibility while maintaining team connectivity.

This is an ideal opportunity for an experienced ML engineer who wants to make a meaningful impact in cybersecurity while working with cutting-edge technology. The role combines technical leadership with hands-on development, offering continuous learning opportunities and the chance to shape the future of digital risk protection.