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Netskope

Data-centric cloud security for enterprises

Staff Machine Learning Scientist

Applied Machine LearningPosted on Nov 12
Full-timeSanta Clara, CA, USAIn-person

About the Job

Requirements

  • Have 8 or more years of industry experience developing artificial intelligence and machine learning models; experience with security products or services is preferred.
  • Have hands-on experience with technology stacks such as CUDA, Python, TensorFlow, and large language models.
  • Have hands-on experience using modern big data pipelines and cloud computing platforms such as AWS, Azure, or GCP.
  • Have strong verbal and written communication skills and be able to explain complex concepts to non-technical stakeholders.
  • Be able to influence without authority.
  • Have an advanced degree in Computer Science, Statistics, Electrical Engineering, or an equivalent technical degree.
  • Be willing to take on multiple responsibilities and deliver end-to-end solutions.

Responsibilities

  • Identify strong artificial intelligence and machine learning use cases in AI security, data security, and adjacent domains, leveraging Netskope’s data sources.
  • Define scalable data acquisition and labeling strategies for specific use cases.
  • Work with data engineers to retrieve, clean, and normalize data and ensure a scalable, continuous, high-quality data stream.
  • Work with threat research and development teams on feature engineering and systematically selecting high-quality feature sets.
  • Develop machine learning models for defined use cases and implement key performance indicators to ensure optimal algorithms and results.
  • Conduct internal testing to ensure high efficacy and low false-positive and false-negative rates.
  • Interpret results and communicate findings.
  • Document use cases, data acquisition, feature engineering, training, validation, deployment, future improvement opportunities, and other important aspects.
  • Work with development and quality engineering teams to productize solutions.
  • Promote artificial intelligence and machine learning applications across Netskope, including beyond security use cases.
  • Stay up to date with developments in artificial intelligence and machine learning, including large language models.

Desired Qualifications

  • Natural language processing and data mining experience.

About the Company

Netskope

Data-centric cloud security for enterprises

Netskope provides cloud security solutions for large enterprises, helping them secure data and protect against threats in cloud environments. It offers a cloud security platform with real-time data and threat protection, secure access service edge (SASE) capabilities, and advanced threat detection and response; all delivered through a subscription model. How it works: the platform continuously monitors cloud services and data traffic, enforcing security policies directly where data lives, and providing real-time protection and threat response across the cloud, network, and apps. How it differs from competitors: it emphasizes a data-centric approach—protecting the data itself in cloud environments—along with cloud-native, real-time protection and a comprehensive SASE bundle, aimed at large organizations undergoing digital transformation. Its goal is to redefine cloud, network, and data security for enterprises by enabling secure and seamless digital transformations.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
2012

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