Sr. Machine Learning Engineer

About Zscaler

Zscaler is a pioneer and global leader in zero trust security. The world’s largest businesses, critical infrastructure organizations, and government agencies rely on Zscaler to secure users, branches, applications, data & devices, and to accelerate digital transformation initiatives. Distributed across more than 160 data centers globally, the Zscaler Zero Trust Exchange platform combined with advanced AI combats billions of cyber threats and policy violations every day and unlocks productivity gains for modern enterprises by reducing costs and complexity.

In this role, 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 champion an “AI Forward, People First” philosophy to help us accelerate and innovate, empowering our people to embrace their 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 to help shape the future of cybersecurity.

Role

We are looking for an experienced Sr. Machine Learning Engineer to join our Engineering team. This role is based in Bangalore, reporting to the Manager, Machine Learning Engineering. You will be responsible for building and maintaining large‑scale distributed systems that power our entire ML pipeline, from data collection to real‑time serving. You’ll solve complex real‑world business problems by partnering closely with data scientists and product teams to deliver impactful automation and intelligence.

What you’ll do (Role Expectations)

• Build and maintain large‑scale distributed systems to support the whole pipeline including data collection, feature engineering, model training, model evaluation, model deployment, and real‑time serving
• Develop functional specifications, assess task requirements and scheduling, and participate in the development, debug and support
• Solve complex real‑world business problems like threat detection and business intelligence by working closely with stakeholders including data scientists, product management and product engineering teams

Who You Are (Success Profile)

• You thrive in ambiguity. You’re comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high‑level strategy and hands‑on execution.
• You are a problem‑solver. You love running towards the challenges because you are laser‑focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
• You are a high‑trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 3+ years of experience as a Software Engineer or ML platform engineer
• Experience with algorithms in building out data collection/processing infrastructure, Machine Learning model training and serving platforms
• Experience using distributed data processing such as Spark, BigQuery or Apache Beam
• Deep expertise with cloud infrastructure (AWS)

What Will Make You Stand Out (Preferred Qualifications)

• Proven track record of designing, building and shipping end‑end applications at scale
• Experience identifying and solving problems in data using machine learning systems
• Familiarity with multi‑agent systems, agent architectures, prompt engineering and SOTA AI frameworks

Equal Employment Opportunity

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.

Pay Transparency

Zscaler complies with all applicable federal, state, and local pay transparency rules.

Reasonable Accommodations

Zscaler is committed to providing reasonable support (‘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.