Machine Learning Engineer, Netskope

AI Labs

$128-260.5k

The salary range applies to candidates in California, Colorado, Illinois, Maryland, New York, Washington, and other states

Expert level

San Francisco Bay Area

2-3 days a week in office (Santa Clara, CA)

Security cloud platform

Be an early applicant

Security cloud platform

1001+ employees

B2BEnterprisePrivacySaaSCyber SecurityCloud Computing

Be an early applicant

$128-260.5k

The salary range applies to candidates in California, Colorado, Illinois, Maryland, New York, Washington, and other states

Expert level

San Francisco Bay Area

2-3 days a week in office (Santa Clara, CA)

1001+ employees

B2BEnterprisePrivacySaaSCyber SecurityCloud Computing

Company mission

To redefine cloud, network, and data security, empowering security teams with the right balance of protection and speed they need to secure their organisation's digital transformation journey.

Job

Company

Role

Who you are

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 isn't afraid to wear multiple hats to get a product across the finish line
BSCS or equivalent required, MSCS or equivalent strongly preferred
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

What the job involves

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
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
High-Impact Ownership: You aren't 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 industry’s toughest challenges in latency, throughput, and cloud security

Our take

As more and more businesses switch to the cloud, there is a growing concern over data breaches and outages, and companies need to invest more in stabilising their security tools. Netskope is a leader in cloud security, helping the world’s largest organisations take full advantage of the cloud and web without sacrificing their resilience to attacks.

The company's patented Cloud XD technology eliminates security blind spots, with the capability to quickly target and control activities across thousands of cloud services and millions of websites. With full control from one cloud, users benefit from 360-degree data protection that guards data everywhere, with advanced threat protection that stops more elusive attacks.

In 2025, Netskope went public and generated more than $900 million in share sales. Thanks to its IPO-sparked rise in market visibility, the company has expanded its customer list as an increasing number of organisations seek to bring their security and infrastructure into the digital age. Netskope, then, has become a driving force and voice for improved cloud security.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

12% employee growth in 12 months

Glassdoor (4.4)

Company

Funding (last 2 of 9 rounds)

Jan 2023

$401m

CONVERTIBLE

Jul 2021

$300m

SERIES H

Total funding: $1.4bn

Company benefits

Family Medical Leave
Flexible Work Schedule
Remote Work Program
Dental Benefits
Disability Insurance
Flexible Spending Account (FSA)
Health Insurance Benefits
Life Insurance
Vision Benefits
Commuter Benefits
Company Outings
Stocked Kitchen
401(K)
Employee Stock Purchase Plan
Paid Holidays
Paid Sick Days

Company HQ

Santa Clara, CA

Leadership

Sanjay Beri

(Founder & CEO)

Previously worked for 8 years at Juniper Networks, holding various positions such as VP and General Manager of Access/Security and Pulse Business Unit, and Executive Sponsor of Juniper Engineering Operations.

Salary benchmarks

We don't have enough data yet to provide salary benchmarks for this role.

Submit your salary to help other candidates with crowdsourced salary estimates.

Share this job

View 22 more jobs at Netskope