ZeroFox is revolutionizing cybersecurity through their Digital Risk Protection SaaS platform. As a Senior Machine Learning Engineer, you'll join a dynamic team developing cutting-edge ML solutions for cybersecurity. The role combines NLP and computer vision expertise to enhance customer protection and make the internet safer.
You'll work with industry experts across security, machine learning, and cyber threat intelligence, designing and deploying advanced ML models. The position offers a balance of technical leadership and hands-on development, requiring both deep ML expertise and strong software engineering skills.
The ideal candidate brings 5+ years of ML experience and 2+ years of leadership experience, with strong proficiency in Python and major ML frameworks. You'll be responsible for defining ML roadmaps, conducting research, and mentoring junior engineers while maintaining high standards of code quality and documentation.
ZeroFox offers a collaborative, growth-oriented environment with competitive benefits including health insurance, parental leave, and regular team activities. The hybrid work model provides flexibility while maintaining team connectivity. The company's recent private equity funding and expanding AI investments make it an exciting time to join.
This role is perfect for someone passionate about applying ML to real-world cybersecurity challenges, who values both technical excellence and team leadership. You'll have the opportunity to shape the future of digital risk protection while working with a diverse, talented team committed to making the internet safer for all.