What are the responsibilities and job description for the Sr. Staff ML Engineer position at Zscaler?
Our Engineering team built the world’s largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today's cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy.
We're 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:
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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.
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Conducting in-depth research on the latest advancements in GenAI technologies and applying these cutting-edge techniques to build AI Copilot use cases.
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Designing, building, and deploying distributed micro-services, ensuring scalability and robustness.
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Collaborating closely with Product Managers and customers to design high-value use cases that meet business objectives and drive product innovation.
What We’re Looking for (Minimum Qualifications):
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8 years of experience delivering end-to-end AI/ML solutions in production.
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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).
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Solid experience in scalable and distributed system design, with a track record of implementing systems or frameworks with high throughput, resilience, and modularity.
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Proficient knowledge of full-stack languages and frameworks, such as Python, ReactJS, Java (Framework: FARM Stack, MERN Stack, Spring Stack).
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Familiarity with cloud-native DevOps, including practices and tools like Jenkins, Kubernetes (K8s), Docker, Helm, Istio, and Terraform.
What Will Make You Stand Out (Preferred Qualifications):
- Experience in training language models (LLM or SLM) for production usage.
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Experience or enthusiasm in cybersecurity or digital transformation.
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