About Zscaler
Serving thousands of enterprise customers around the world including 45% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange™ platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler.
Our Engineering team built the world’s largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today's cloud security leader, with more than 65 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy.
We're hiring a talented Sr. Staff Machine Learning Engineer to join our growing ML/AI team at Zscaler. The team focuses on various cybersecurity use cases including threat detection, policy recommendation, malware detection, content classification, and anomaly detection. In this role, you'll have the opportunity to work on innovative ML/AI projects that address important cybersecurity challenges. This is a hybrid work environment, going into our San Jose, CA office 3 days a week. Reporting to the Sr. Director, Machine Learning, you'll be responsible for:
- Leading the design and development of ML pipelines, components, cybersecurity applications and providing technical guidance to junior and mid-level engineers
- Optimizing existing data connectors, machine learning pipelines for improved efficiency and scalability
- Exploring and experimenting with advanced machine learning platforms and architectures to solve complex cybersecurity problems
- Collaborating with cross-functional teams to define project requirements and ensure alignment with business objectives
- Staying updated on the latest advancements in machine learning and applying them to our cybersecurity solutions
What We're Looking for (Minimum Qualifications)
- 7+ years of experience as a Machine Learning Engineer, with extensive experience in data modeling, feature engineering, model development, and error analysis
- Familiarity with public cloud services (such as AWS, Google Cloud, or Azure) and ML automation platforms, such as Kube Flow
- Proficiency in various programming languages such as (Py)Spark, applying unsupervised learning (clustering) and dealing with large scale volumes
- Experience creating and maintaining data warehouses and data lakes, including knowledge of appropriate data partitioning, compression techniques, and indexing strategies
- Bachelor's degree in Computer Science, Engineering, or a related technical field (Master's Degree or PhD preferred)
What Will Make You Stand Out (Preferred Qualifications)
- Proficient in building scalable data connectors, ML pipelines on AWS.
- Proficient in designing and implementing data models optimized for analytical use, including dimensional modeling
- Solid understanding of machine learning concepts and their applications in cybersecurity
#LI-JM1
#LI-Hybrid
Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.
The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.
At 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!
Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here.
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.
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What We Do
Zscaler accelerates digital transformation so our customers can be more agile, efficient, resilient, and secure. Our cloud native Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Why Work With Us
Our impact comes from how we work—every day, in every decision, as one team. Our values and leadership principles are more than words; they're our operating system. They fuel a culture of execution where trust, transparency, and accountability help us deliver meaningful results for our customers, colleagues, and our company.
www.zscaler.com/culture
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Zscaler Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
