Candidates are assessed individually and leveled according to their specific skills and background.

About the Role

Within Netskope Engineering, the Netskope AI Labs is responsible for advancing state-of-the-art artificial intelligence (AI) and machine learning (ML) technology to power the Netskope Intelligent Security Service Edge (SSE) security platform. We are seeking a dedicated Machine Learning Engineer to help develop and deploy enterprise-scale AI solutions. Leveraging your growing expertise in AI/ML, you will work closely with senior architects to build and maintain production-grade AI/ML solutions for our Secure Access Service Edge (SASE) architecture.

What’s in it for you 

This is a highly impactful opportunity to contribute to the AI transformation of a market-leading cloud security company. You will have the platform to help build a scalable 'AI Engine', working alongside top-tier engineers, researchers, and machine learning scientists to solve the industry's most challenging AI latency, scalability, and cloud security problems today.

What you will be doing

• Contribute to the AI Roadmap: Assist in executing the AI/ML technical strategy by building highly scalable, reliable, and production-grade systems.
• Develop Production-Grade Inference Systems: Help design, optimize, and deploy scalable AI/ML inference systems, working with modern LLM serving technologies such as vLLM, SGLang, and advanced KV Cache optimization to maximize throughput and minimize latency.
• Participate in the End-to-End AI Lifecycle: Collaborate with ML scientists, senior engineers, and product stakeholders to translate business requirements into enterprise solutions.
• Implement AI Evaluation: Help enforce strict 'Report Cards' for AI models in production by measuring and tracking accuracy, latency, and security relevance before and during deployment.

Required skills and experience

• 2+ years of industry experience (or equivalent combination of a technical degree + experience) in developing AI/ML solutions.
• Hands-on experience with the modern AI stack, including exposure to optimizing LLMs in production environments and familiarity with tools like vLLM, SGLang, and KV Cache optimization.
• Strong communication skills with the ability to discuss technical concepts clearly with cross-functional team members.
• Energetic self-starter with a true startup spirit and the willingness to wear multiple hats to deliver end-to-end solutions in a dynamic, fast-paced environment.

Education

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related technical field

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