Zscaler, the world's largest cloud security platform operator, is seeking a Sr. Staff Machine Learning Engineer to join their ML/AI team. This role offers an exciting opportunity to work on innovative cybersecurity solutions using advanced ML/AI techniques. The position involves leading ML components development, optimizing pipelines, and solving complex cybersecurity challenges.
The company, serving 40% of Fortune 500 companies, has built an impressive security cloud platform with over 100 patents and 15 million users across 185 countries. Their AI-powered Zero Trust Exchange platform is pioneering in providing secure connections for users, devices, and applications.
As a Sr. Staff Machine Learning Engineer, you'll work in a hybrid environment at the San Jose office, reporting to the VP of Software Development Engineering. The role combines technical leadership with hands-on development, focusing on threat detection, policy recommendation, malware detection, and anomaly detection.
The ideal candidate should have 7+ years of ML engineering experience, strong Python and SQL skills, and deep understanding of mathematical ML concepts. Experience with cloud services and cybersecurity is highly valued. The position offers competitive compensation ($147,000 - $210,000) and comprehensive benefits including health plans, retirement options, and education reimbursement.
Join a team recognized as a Best Workplace in Technology by Fortune, where you'll contribute to building and innovating for the greater good in a fast-paced, collaborative environment. This role presents an excellent opportunity for those passionate about applying ML/AI to solve critical cybersecurity challenges while working with some of the brightest minds in the industry.