Principal Detection Engineer at Hewlett Packard Enterprise

Spring, Texas, United States

Hewlett Packard Enterprise Logo
Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, CybersecurityIndustries

Requirements

  • Strong analytical and problem-solving mindset
  • Experience with feature engineering on large, noisy security datasets
  • Background in adversarial ML and detection resiliency against evasion
  • Familiarity with modern data infrastructure
  • Contributions to detection engineering frameworks, open-source tools, or research publications
  • Proven leadership experience in shaping detection strategies and guiding cross-functional efforts
  • Ability to explain complex technical issues to non-technical audiences
  • Track record of mentoring and technical leadership
  • Expertise in Machine Learning (ML) and Artificial Intelligence (AI) technologies
  • Strong understanding of cybersecurity, data analytics, and model-based detections

Responsibilities

  • Design, develop, and implement advanced threat detection systems leveraging ML/AI techniques to identify malicious activity, anomalies, and emerging risks
  • Build and optimize machine learning models for real-time detection, including supervised, unsupervised, and reinforcement learning approaches
  • Perform data engineering and pre-processing for cybersecurity applications
  • Analyze large-scale datasets to extract meaningful insights, detect patterns, and enhance the accuracy of detection systems
  • Develop and refine detection algorithms for intrusion detection, anomaly detection, endpoint security, behavioral analysis, and other cybersecurity applications
  • Automate detection workflows and processes to improve efficiency and scalability of security monitoring systems
  • Work closely with threat intelligence, red team, security operations, and data scientists to integrate detection models into security platforms and tools
  • Test, validate, and monitor the performance of detection models, ensuring reliability and minimizing false positives/negatives
  • Stay up to date with emerging threats, ML/AI technologies, and advancements in cybersecurity to continuously improve detection systems
  • Maintain clear documentation of models, processes, and systems

Skills

Machine Learning
Artificial Intelligence
Cybersecurity
Threat Detection
Anomaly Detection
Data Analytics
Model Deployment

Hewlett Packard Enterprise

Provides enterprise IT solutions and services

About Hewlett Packard Enterprise

Hewlett Packard Enterprise provides enterprise IT solutions with a focus on cloud services, artificial intelligence, and edge computing. Their products include HPE Ezmeral for managing containers, HPE GreenLake for cloud services, and HPE Aruba for networking. These solutions help businesses improve their performance and adapt to digital changes. HPE's business model includes selling hardware, software, and services, as well as offering subscription-based services and long-term contracts. What sets HPE apart from competitors is its commitment to open-source projects and its active developer community, which supports collaboration and innovation. The company's goal is to empower organizations to transform digitally and optimize their operations.

Houston, TexasHeadquarters
1939Year Founded
IPOCompany Stage
Hardware, Enterprise Software, AI & Machine LearningIndustries
10,001+Employees

Risks

Integration challenges with Juniper Networks may delay AI-driven networking benefits.
Competition from startups like Flywheel could impact HPE's AI and cloud services.
HPE's acquisition strategy may strain resources and distract from core operations.

Differentiation

HPE's GreenLake offers a unique hybrid cloud platform for diverse IT environments.
HPE Ezmeral provides advanced container management, enhancing enterprise AI and analytics capabilities.
HPE's Aruba solutions integrate cloud security and networking for seamless, secure connectivity.

Upsides

HPE's acquisition of Juniper Networks boosts AI-driven innovation in networking.
OpsRamp acquisition enhances HPE's IT management with AI-based automation capabilities.
Axis Security integration strengthens HPE's cloud security offerings with SASE solutions.

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