Sr. Staff Machine Learning Engineer

Zscaler • San Jose, CA

145d • $147,000 - $210,000 • Hybrid

About The Position

Zscaler is looking for a Sr. Staff Machine Learning (ML) Engineer to join our AI Copilot team. This role will be based in our San Jose, CA office (hybrid, 3 days per week in office). Reporting to the Sr. Manager, you'll be responsible for developing and implementing use cases for the AI Copilot to be utilized by IT administrators, cybersecurity operations, and vulnerability management teams, focusing on both efficiency and user experience. You will conduct in-depth research on the latest advancements in GenAI technologies and apply these cutting-edge techniques to build AI Copilot use cases. Additionally, you will design, build, and deploy distributed micro-services, ensuring scalability and robustness, while collaborating closely with Product Managers and customers to design high-value use cases that meet business objectives and drive product innovation.

Requirements

• 8+ years of experience delivering end-to-end AI/ML solutions in production.
• Proficiency with mainstream modeling toolkits, including ML/Deep learning (TensorFlow/Keras, PyTorch, Sklearn, Spacy), Data Science (Pandas, Numpy, Spark), and LLM frameworks (HuggingFace, Langchain, Nvidia Nemo stack).
• Solid experience in scalable and distributed system design.
• Proficient knowledge of full-stack languages and frameworks, such as Python, ReactJS, Java (Framework: FARM Stack, MERN Stack, Spring Stack).
• Familiarity with cloud-native DevOps practices and tools like Jenkins, Kubernetes (K8s), Docker, Helm, Istio, and Terraform.

Nice To Haves

• Experience in training language models (LLM or SLM) for production usage.
• Experience or enthusiasm in cybersecurity or digital transformation.

Responsibilities

• Develop and implement use cases for the AI Copilot for IT administrators, cybersecurity operations, and vulnerability management teams.
• Conduct in-depth research on the latest advancements in GenAI technologies.
• Design, build, and deploy distributed micro-services, ensuring scalability and robustness.
• Collaborate closely with Product Managers and customers to design high-value use cases.

Benefits

• Various health plans
• Time off plans for vacation and sick time
• Parental leave options
• Retirement options
• Education reimbursement
• In-office perks, and more!

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Professional, Scientific, and Technical Services
• Number of Employees: 5,001-10,000 employees