Staff Machine Learning Scientist

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](https://www.netskope.com/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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