Staff Machine Learning Engineer
Zscaler
About the role
About Zscaler
Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI‑forward enterprise, we constantly push the envelope, leveraging the world’s largest security data lake to power our cloud‑native Zero Trust Exchange platform. This innovation protects customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
We value impact over activity, transparency, constructive debate, and high‑performing teams. Our culture centers on customer obsession, collaboration, ownership, and accountability.
Role
We are looking for an experienced Staff Machine Learning Engineer to join our Engineering team in Hyderabad, reporting to the Senior Director, Engineering. You will build and maintain large‑scale distributed systems that power the entire ML pipeline—from data collection to real‑time serving—and solve complex business problems by partnering with data scientists and product teams.
What You’ll Do (Role Expectations)
- Build and maintain large‑scale distributed systems supporting 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 development, debugging, and support.
- Solve complex real‑world business problems such as threat detection and business intelligence by working closely with data scientists, product management, and product engineering teams.
Who You Are (Success Profile)
- Thrive in ambiguity and build the path as you walk it.
- Act like an owner with a bias for action, operating with integrity and navigating between high‑level strategy and hands‑on execution.
- Be a problem‑solver focused on delivering impact by tackling hard challenges.
- Function as a high‑trust collaborator, giving and receiving candid feedback with clarity and respect.
- Possess a growth mindset, actively seeking feedback and continuously developing your skills.
What We’re Looking For (Minimum Qualifications)
- 4+ years of experience as a Software Engineer or ML Engineer.
- Experience applying machine learning to improve key business metrics, optimizing models for accuracy and latency.
- Experience researching newer techniques and innovating ML‑based solutions.
- Experience with algorithms for data collection/processing infrastructure, model training, and serving platforms.
- Deep expertise with cloud infrastructure (AWS).
What Will Make You Stand Out (Preferred Qualifications)
- Proven track record of designing, building, and shipping end‑to‑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 state‑of‑the‑art AI frameworks.
Inclusion
Zscaler is committed to building a team that reflects the communities we serve. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging.
Benefits
- Various health plans
- Time‑off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In‑office perks and more
Requirements
- 4+ years of experience as a Software Engineer or ML Engineer
- Experience with applying machine learning for improving key business metrics, optimized models for accuracy, latency
- Experience with researching newer techniques, and innovating for building ML based solutions
- Experience with algorithms in building out data collection/processing infrastructure, Machine Learning model training, and serving platforms
- Deep expertise with cloud infrastructure (AWS)
Responsibilities
- 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
Benefits
Skills
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