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.
Visit Careers at Netskope to learn more. Follow us on LinkedIn and Instagram.
About the role
Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience.
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. Leveraging our expertise in AI/ML and security, we are developing large-scale AI/ML solutions for SSE. For example, we are integrating the latest AI/ML technology into our data security and threat protection features, as well as business operations.
What’s in it for you
We are looking for a talented and motivated machine learning scientist to join our team. A successful candidate has deep technical expertise in applying AI/ML technologies in security applications and/or adjacent domains, and must be passionate about cloud security and AI security. You will have the opportunity to work with a team of talented engineers, researchers, and machine learning engineers to solve the most challenging cloud security problems today.
What you will be doing
- Identify strong AI/ML use cases in AI security, data security, and adjacent domains, leveraging Netskope’s rich set of data sources
- Define scalable data acquisition and labeling strategy for specific use cases
- Work with data engineers to retrieve, clean, and normalize data and ensure a scalable and continuous high-quality data stream
- Work closely with threat research and development teams in feature engineering, making sure high-quality feature sets are chosen in a systematic way
- Develop ML models for defined use cases and implement KPIs to ensure optimal algorithms and results
- Conduct strict internal testing to ensure high efficacy, low false positive and false negative rate
- Interpret results and communicate findings
- Document use case, data acquisition, feature engineering, training, validation, deployment, future improvement opportunity, and other important aspects
- Work closely with development and QE teams in productization
- Be an evangelist of AI/ML within Netskope and promote AI/ML wherever applicable, beyond security use cases
- Staying up-to-date with the latest developments in AI/ML such as large language models (LLM)
Required skills and experience
- Must have a true startup spirit and be willing to wear multiple hats and deliver end-to-end solutions
- 8+ years of industry experience in developing AI/ML models, preferably on security products or services
- Hands-on experience with relevant technology stacks such as CUDA, Python, Tensorflow, LLM, etc.
- Hands-on experience using modern big data pipelines and cloud computing platforms such as AWS, Azure, or GCP
- Natural language process (NLP) and data mining experience highly desirable
- Energetic self-starter with the desire to work in a dynamic fast-paced environment
- Excellent verbal and written communication skills and ability to explain complex concepts to non-technical stakeholders
- Ability to influence without authority
Education
- Advanced degree in Computer Science, Statistics, Electrical Engineering, or equivalent technical degree
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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.
Skills Required
- 4+ years of industry experience developing AI/ML models
- Experience developing AI/ML models for security products or services preferred
- Hands-on experience with CUDA, Python, TensorFlow, and large language models
- Hands-on experience with modern big data pipelines and cloud platforms such as AWS, Azure, or GCP
- Natural language processing and data mining experience
- Advanced degree in Computer Science, Statistics, Electrical Engineering, or an equivalent technical field
- Ability to develop end-to-end solutions and work in a startup-style environment
- Excellent verbal and written communication skills, including explaining complex concepts to nontechnical stakeholders
- Ability to influence without authority
Netskope Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Netskope and has not been reviewed or approved by Netskope.
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Fair & Transparent Compensation — Pay is considered competitive in U.S. technical roles, with indications that total compensation benchmarks strongly versus peers. Employees are generally pleased with total compensation that includes pay, stock, equity, and benefits.
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Healthcare Strength — Health coverage offers multiple medical plan choices alongside dental, vision, disability, HSA/FSA, and EAP, and is often characterized as very good. Employer-verified plan options and regional choices reinforce the breadth and quality of coverage.
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Leave & Time Off Breadth — Time off includes flexible/unlimited PTO, paid holidays, and quarterly wellness days that support rest and flexibility. Paid parental leave is available, commonly cited at 12 weeks for birth parents and 8 weeks for non‑birth parents.
Netskope Insights
What We Do
Netskope, the SASE leader, safely and quickly connects users directly to the internet, any application, and their infrastructure from any device, on or off the network. With CASB, SWG, and ZTNA built natively in a single platform, the Netskope Security Cloud provides the most granular context, via patented technology, to enable conditional access and user awareness while enforcing zero trust principles across data protection and threat prevention everywhere. Unlike others who force tradeoffs between security and networking, Netskope’s global security private cloud provides full compute capabilities at the edge. Netskope is fast everywhere, data-centric, and cloud-smart, all while enabling good digital citizenship and providing a lower total-cost-of-ownership.
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