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About the company
Zscaler (NASDAQ: ZS) accelerates digital transformation so that customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange is the company’s cloud-native platform that protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. With more than 10 years of experience developing, operating, and scaling the cloud, Zscaler serves thousands of enterprise customers around the world, including 450 of the Forbes Global 2000 organizations. In addition to protecting customers from damaging threats, such as ransomware and data exfiltration, it helps them slash costs, reduce complexity, and improve the user experience by eliminating stacks of latency-creating gateway appliances. Zscaler 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. Zscaler’s purpose-built security platform puts a company’s defenses and controls where the connections occur—the internet—so that every connection is fast and secure, no matter how or where users connect or where their applications and workloads reside.
Job Summary
We're looking for an experienced Staff Machine Learning Engineer to join our Shared Platform Services. Reporting to the Director, Engineering; you'll be responsible for:
đź“ŤArchitecting, building and maintaining robust, large-scale distributed systems to support the entire ML pipeline on the client side, including data collection, feature engineering, model training, model evaluation, model deployment, and real-time serving đź“ŤDeveloping functional specifications, assess task requirements and scheduling, and actively participate in the development, debugging, and support of client-side ML solutions đź“ŤSolving complex real-world business problems by working closely with various stakeholders, including data scientists, product management, and product engineering teams đź“ŤDeveloping implement, and optimize C/C++ code for the efficient execution of machine learning models on client side or server side depending on the use case đź“ŤIntegrating and running various machine learning models on client platforms, ensuring optimal performance and resource utilization
What We're Looking for (Minimum Qualifications)
đź“Ť8+ years of experience as a Software Engineer including 3+ years of ML platform engineer, with a focus on client-side development. đź“ŤExperience in C/C++ programming for high-performance applications đź“ŤGood understanding of Windows OS and experience building applications on Windows OS using Visual Studio đź“ŤStrong experience with algorithms and programming skills in building out data collection/processing infrastructure, Machine Learning model training, and serving platforms on client devices đź“ŤExperience with SLM models and running different ML models on client-side environments
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