Machine Learning Engineer

United States·Santa Claramid

Machine Learning EngineerData

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Quick Summary

Key Responsibilities

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,

Requirements Summary

Help enforce strict 'Report Cards' for AI models in production by measuring and tracking accuracy, latency, and security relevance before and during deployment.

Technical Tools

Machine Learning EngineerData

Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security.

Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, St. Louis, Bangalore, London, Paris, Melbourne, Taipei, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive. Visit us at Netskope Careers. Please follow us on LinkedIn and Twitter@Netskope.

About the Role

~1 min read

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.

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.

Responsibilities

~1 min read

→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.

Requirements

~1 min read

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.

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

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Compensation:

At Netskope, salary is one component of our competitive total rewards package. The salary range for this position is as listed below. This is a national range. For purposes of complying with applicable laws, the range applies to candidates in California, Colorado, Illinois, Maryland, New York, Washington, and other states.

The successful candidate’s starting pay will also be determined based on job-related skills, experience, qualifications, location, and market conditions.

For all sales roles, the posted salary range is the On Target Earnings (OTE) range for the role, which is the sum of base salary and target commission amount at 100% goal achievement.

In addition to salary, candidates may be eligible for other forms of compensation such as participation in a bonus plan (for non-sales roles) and a stock award program. Candidates may also be eligible for a comprehensive health plan and other benefits that can be reviewed at Netskope Benefits site.

Salary Range

$128,000—$260,500 USD

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.

Netskope respects your privacy and is committed to protecting the personal information you share with us, please refer to Netskope's Privacy Policy for more details.

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