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Netskope AI Labs is seeking a Machine Learning Engineer to build, optimize, and deploy enterprise-scale AI solutions within the Netskope Intelligent Security Service Edge (SSE) platform. You will work closely with senior architects and ML scientists to advance state-of-the-art AI and machine learning capabilities that protect modern enterprises.
Key responsibilities include:
- Collaborating on the AI roadmap alongside senior architects and team members to drive execution of critical AI/ML technical strategies, building highly scalable, reliable, and production-grade systems.
- Architecting high-performance inference systems: designing, optimizing, and deploying enterprise-scale LLM serving infrastructures to push boundaries of throughput and latency.
- Owning the end-to-end AI lifecycle by partnering with ML scientists and product stakeholders to translate complex business requirements into deployed code.
- Implementing and scaling production model "Report Cards" that track real-world accuracy, latency, and security relevance.
- Working on cutting-edge LLM inference optimization using tools like vLLM, SGLang, and advanced KV Cache optimization techniques.
Required qualifications:
- 10+ years of overall software engineering and product development experience.
- One of two specialized tracks: (1) 2+ years of production experience developing, optimizing, and deploying AI/ML solutions, or equivalent advanced degree + hands-on experience; OR (2) 6+ years architecting and scaling high-performance distributed systems with strong interest in applying those skills to AI/LLM engineering.
- Direct exposure to or strong conceptual understanding of optimizing LLMs in production environments.
- Ability to work in a collaborative environment with top-tier engineers, researchers, and ML scientists.
Netskope is a market-leading cloud security company founded in 2012, with offices across Santa Clara, St. Louis, Bangalore, London, Paris, Melbourne, Taipei, and Tokyo. The company emphasizes openness, honesty, and transparency with a collaborative culture.
