Machine Learning Engineer, AI Labs

Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud data and AI in real time everywhere. Thousands of customers including more than 30 of the Fortune 100 trust the Netskope One platform its Zero Trust Engine and the powerful NewEdge network to gain full visibility and control without performance trade-offs.

At Netskope our technology is driven by our greatest strength: our people. We believe that belonging powers innovation and success is both personal and organizational. We embrace differences in gender ethnicity beliefs ability and identity creating an environment where every voice is heard and respected. We empower our employees to bring their authentic selves to work grow their careers through continuous education and mentorship and lead with transparency and curiosity. Join a team where you belong where you are encouraged to be an entrepreneur and where together we continue to redefine the landscape of security.

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Within Netskope Engineering Netskope AI Labs is the powerhouse advancing state-of-the-art artificial intelligence (AI) and machine learning (ML) to protect the modern enterprise. We build the intelligence behind the Netskope Intelligent Security Service Edge (SSE) platform.

We are seeking a high-caliber Machine Learning Engineer to help us build optimize and deploy enterprise-scale AI solutions. Working closely with senior architects you will directly influence our Secure Access Service Edge (SASE) architecture turning cutting-edge AI research into production-grade reality.

Note on Leveling: We believe great talent doesnt always fit into a rigid box. Candidates are assessed individually and leveled (from mid to senior) according to their specific skills background and technical depth.

• High-Impact Ownership: You arent just maintaining pipelines; you are playing a critical role in the AI transformation of a market-leading cloud security company.
• Cutting-Edge Stack: Work on the bleeding edge of LLM inference optimization utilizing tools like vLLM SGLang and advanced KV Cache optimization.
• Elite Collaboration: Work alongside top-tier engineers researchers and ML scientists to solve the industrys toughest challenges in latency throughput and cloud security.

• Collaborate on the AI Roadmap: Play a key role alongside senior architects and team members in driving the execution of critical AI/ML technical strategies building highly scalable reliable and production-grade systems.
• Architect High-Performance Inference Systems: Design optimize and deploy enterprise-scale LLM serving infrastructures. You will push the boundaries of throughput and latency.
• Own the End-to-End AI Lifecycle: Partner closely with ML scientists and product stakeholders to translate complex business requirements into elegant deployed code.
• Enforce AI Excellence: Implement and scale strict Report Cards for production models tracking real-world accuracy latency and security relevance.

• Industry Experience: 10 years of overall experience in software engineering and product development with a specialized focus in one of two tracks:
• The AI/ML Focus: 2 years of production experience developing optimizing and deploying AI/ML solutions (or an equivalent blend of an advanced technical degree hands-on experience).
• The Distributed Systems Focus: 6 years of deep experience architecting building and scaling high-performance distributed systems combined with a strong desire to apply those infrastructure skills to cutting-edge AI/LLM engineering.
• The Modern AI Stack: Direct exposure to (or a strong conceptual understanding of) optimizing LLMs in production. Familiarity with high-throughput inference frameworks (e.g. vLLM SGLang TensorRT-LLM) and memory management techniques like KV Cache optimization is a massive plus.
• Clear Communication: The ability to distill complex technical architecture or infrastructure bottlenecks into clear actionable concepts for cross-functional teams.
• The Startup Mindset: You are an energetic self-starter who thrives in fast-paced dynamic environments and isnt afraid to wear multiple hats to get a product across the finish line.

• BSCS or equivalent required MSCS or equivalent strongly preferred.

Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion race color sex marital or veteran statues age national origin ancestry physical or mental disability medical condition sexual orientation gender identity/expression genetic information pregnancy (including childbirth lactation and related medical conditions) or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate.

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The application window for this position is expected to close within 50 days. You may apply by filling out the below information or visiting ourNetskope Careers site.