Machine Learning Engineer – AI Labs

Netskope•Santa Clara, CA

About The Position

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 doesn't 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.

Requirements

10+ years of overall experience in software engineering and product development
2+ years of production experience developing, optimizing, and deploying AI/ML solutions (or an equivalent blend of an advanced technical degree + hands-on experience).
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.
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.
The ability to distill complex technical architecture or infrastructure bottlenecks into clear, actionable concepts for cross-functional teams.
You are an energetic self-starter who thrives in fast-paced, dynamic environments and isn't afraid to wear multiple hats to get a product across the finish line.
BSCS or equivalent required

Nice To Haves

MSCS or equivalent strongly preferred.

Responsibilities

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.
Design, optimize, and deploy enterprise-scale LLM serving infrastructures. You will push the boundaries of throughput and latency.
Partner closely with ML scientists and product stakeholders to translate complex business requirements into elegant, deployed code.
Implement and scale strict "Report Cards" for production models, tracking real-world accuracy, latency, and security relevance.