Principal Machine Learning Engineer
About Zscaler
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.
Here, impact in your role matters more than title and trust is built on results. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership and accountability.
We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges and want to make a positive difference on a global scale, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.
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.
Responsibilities
We're hiring a talented Principal Machine Learning Engineer to join our growing ML/AI team at Zscaler. The team focuses on various cybersecurity use cases including agentic frameworks, threat detection, policy recommendation, 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 VP, AI and ML, you'll be responsible for:
The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.
Base Pay Range
$182,000 - $260,000 USD
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.
Benefits
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:
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.
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.
Here, impact in your role matters more than title and trust is built on results. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership and accountability.
We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges and want to make a positive difference on a global scale, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.
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.
Responsibilities
We're hiring a talented Principal Machine Learning Engineer to join our growing ML/AI team at Zscaler. The team focuses on various cybersecurity use cases including agentic frameworks, threat detection, policy recommendation, 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 VP, AI and ML, you'll be responsible for:
- Leading the design and development of cutting edge, production ready AI/ML systems and pipelines, cybersecurity applications and providing technical guidance to junior and mid-level engineers
- Optimizing existing machine learning pipelines for improved efficiency and scalability
- Exploring and experimenting with advanced AI techniques and architectures to solve complex cybersecurity problems as well as staying updated on the latest advancements in AI and applying them to our cybersecurity solutions
- Collaborating with cross-functional teams to define project requirements and ensure alignment with business objectives
- Ensuring systems and applications meet reliability, scalability and performance requirements
- 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)
- 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
The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.
Base Pay Range
$182,000 - $260,000 USD
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.
Benefits
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.
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