ZeroFox, a leading provider of Digital Risk Protection solutions, is seeking a Senior Machine Learning Engineer to join their innovative team. This role presents an exciting opportunity to work at the intersection of cybersecurity and artificial intelligence, developing cutting-edge machine learning solutions that help make the internet safer for all.
The position involves working with a diverse team of software engineers, cybersecurity experts, and data scientists to build and enhance ZeroFox's cybersecurity platform. As a Senior Machine Learning Engineer, you'll be responsible for designing and implementing advanced ML models for natural language processing and computer vision applications, while collaborating with various stakeholders across the organization.
The ideal candidate brings 5+ years of machine learning experience and 2+ years of team leadership experience, with strong proficiency in Python and modern ML frameworks. You'll be working in a hybrid environment in Santiago, Chile, where you'll have the opportunity to mentor junior engineers and contribute to defining the technical roadmap for ML initiatives.
ZeroFox offers a compelling benefits package including competitive compensation, health insurance, parental leave, and daily catered lunches for in-office work. The company maintains a people-first culture that emphasizes continuous learning, collaboration, and innovation. With fresh private equity funding and expanding investments in AI, ZeroFox is experiencing significant growth and offers excellent opportunities for career advancement.
This role is perfect for someone who is passionate about applying machine learning to solve real-world cybersecurity challenges, enjoys mentoring others, and wants to be part of a mission-driven organization that's making a tangible impact on digital security. The position offers a unique blend of technical leadership, hands-on development, and the opportunity to work with cutting-edge technologies in a fast-paced, collaborative environment.