Role overview
The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.Base Pay Range$175,000 - $250,000 USDAt Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more!
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
What we're looking for
10+ years of experience as a Machine Learning Engineer or Scientist, with a proven track record of delivering successful projects, along with a solid understanding of machine learning concepts and their applications in cybersecurity Excellent communication skills with ability to translate complex technical concepts to stakeholders, peers. Record of peer reviewed communication is a plus Strong proficiency in Algorithms, Game Theory and Optimization, Verification, ML libraries and frameworks Extensive experience in data modeling, feature engineering, model development, and error analysis Bachelor's degree in Computer Science, or a related technical field (Master's Degree or PhD preferred)
What Will Make You Stand Out (Preferred Qualifications)
Proven track record of designing, building and shipping end-end applications at scale, with familiarity with multi-agent systems and orchestration frameworks Deep expertise with cloud infrastructure (e.g. AWS, GCP) for AI workloads Strong experience with agent architectures and SOTA AI frameworks, along with contributions to open-source ML projects, top-tier research publications