Netskope
Machine Learning Engineer, AI Labs
Santa Clara, California, United StatesFrom $260.5kmidAdded 1 month ago
About this role
Netskope is looking for a Machine Learning Engineer to join their AI Labs in Santa Clara, where you will develop, optimize, and deploy AI solutions for cloud security. The role involves collaborating with senior architects on the Secure Access Service Edge architecture and transforming AI research into practical applications.
What you'll do
- Collaborate on the AI roadmap and execute AI/ML strategies
- Design and optimize high-performance inference systems
- Own the end-to-end AI lifecycle from business requirements to code deployment
- Implement and scale accuracy and performance tracking for production AI models
What they're looking for
- 10+ years in software engineering and product development
- 2+ years in AI/ML solution development and deployment
- Strong experience with optimizing large language models
- Experience in architecting high-performance distributed systems
- Knowledge of cloud security practices
- Ability to collaborate with cross-functional teams
- Strong problem-solving skills
- Familiarity with modern AI technology stack
Benefits
- High-impact ownership of AI transformation initiatives
- Work with cutting-edge AI technology
- Elite collaboration with top engineers and researchers
- Supportive and interactive workplace culture
- Catered lunches and employee recognition events
Opens the official application on the employer’s site. No login required.
Netskope
Netskope builds SD-WAN and cloud security solutions for enterprise customers. The company is hiring Solutions Engineers and Senior Solutions Engineers to serve as technical advisors and consultants, supporting sales teams in demonstrating solutions, designing implementations, and driving customer success.
View all jobs at NetskopeLikely interview questions
- Can you walk us through your experience optimizing LLM inference in production? What tools like vLLM or SGLang have you worked with, and what performance improvements did you achieve?
- Describe a time you designed or scaled a high-performance distributed system. How did you approach latency and throughput optimization, and what were the key bottlenecks you encountered?