Netskope is redefining Cloud, Network and Data Security by building a new perimeter in the cloud that follows and protects data wherever it goes. 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, developing large-scale AI/ML solutions for SSE, and integrating the latest AI/ML technology into data security and threat protection features, as well as business operations.
Requirements
- 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
- Staying up-to-date with the latest developments in AI/ML such as large language models (LLM)
Responsibilities
- Identify strong AI/ML use cases in cloud 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
Other
- Must have a true startup spirit and be willing to wear multiple hats and deliver end-to-end solutions
- 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
- Advanced degree in Computer Science, Statistics, Electrical Engineering, or equivalent technical degree
