Staff Machine Learning Scientist

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.

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.

• Must have a true startup spirit and be willing to wear multiple hats and deliver end-to-end solutions
• 4+ 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

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.   

• →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)

• Advanced degree in Computer Science, Statistics, Electrical Engineering, or equivalent technical degree

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