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Staff Data Scientist - Remote - California, USA

About Zscaler

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:

Zscaler is seeking an experienced and innovative Data Scientist specializing in Generative AI to join our dynamic team. The ideal candidate will possess in-depth knowledge and practical experience with Large Language Models (LLMs), AI operations (AI Ops), AI toolchains, Retrieval-Augmented Generation (RAG), fine-tuning techniques, and model evaluation methodologies. You will play a crucial role in advancing our AI-driven products and services, leveraging cutting-edge AI technologies to drive forward-thinking solutions and advancements.

 

  • Be a part of a startup team in the company, working on creating a new product.
  • Engage in the development of state-of-the-art Gen AI technology

 

Key Responsibilities:

 

  • Advanced LLM Development:
    • Implement and enhance …

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