Job Closed
This listing is no longer active.
Threat Analyst II, AI/ML Operations
Location
Ireland
Posted
82 days ago
Salary
0
Seniority
Senior
Job Description
Threat Analyst II, AI/ML Operations
CrowdStrike
• Review current ML-based product detections to ensure they are performing to the company standard • Review customer-based reports of false positives and false negatives • Review adversary intrusions and create ML-based security detections as needed • Analyze binary files to determine their legitimacy
Job Requirements
- Exposure and understanding of different types and functionality of malware
- Experience with reverse engineering malware, detection engineering, or threat hunting
- Knowledge of programming and scripting languages, in particular Python
- Fundamental understanding of attributes of binary files such as imports/exports and packers
- Ability to demonstrate practical knowledge of research/collection skills and analytical methods
- A creative approach to problem solving and closing detection gaps
- An excellent understanding of at least one major operating system type or a public cloud provider
- Ability to break down complex problems into workable components
- Bonus Points: Experience in a security operations center, incident response, blue teaming, or similar
- A thorough understanding of Windows OS internals and the Windows API
- Familiarity with tools used in targeted and criminal cyber-intrusions
- A background in exploit and vulnerability analysis, or red teaming
- Knowledge of a variety of programming languages including C, C++, Java, and assembly
- Intimate knowledge of public cloud infrastructure
- Experience with machine learning, data science, or data science concepts
- Familiarity with CrowdStrike product and services
Benefits
- Market leader in compensation and equity awards
- Comprehensive physical and mental wellness programs
- Competitive vacation and holidays for recharge
- Paid parental and adoption leaves
- Professional development opportunities for all employees regardless of level or role
- Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
- Vibrant office culture with world class amenities
- Great Place to Work Certified™ across the globe
Related Guides
Related Categories
Related Job Pages
More Artificial Intelligence Jobs
• Adoption of CI&T Flow • Plan and execute rollouts across squads; map pain points and opportunities, and select the most appropriate agents/engines. • Report adoption and throughput metrics; remove impediments and adjust the adoption plan. • Ensure the cadence of agile rituals (planning, reviews, refinements, retrospectives) with a focus on GenAI adoption in Upstream. • Train Product Owners and teams in the use of Upstream agents (discovery, writing stories, prioritization, documentation). • Create enablement materials, usage guides and playbooks; promote communities of practice and champions.
• Generate photo, video, and audio content for advertising creatives. • Test new AI tools. • Propose and implement your own ideas.
Risk Modeling Lead, AI Generation Engine
SandboxAQLeveraging AQ - the powerful compound effects of AI + Quantum technology
• Own and execute the multi-year technical roadmap for risk modeling, translating advanced simulation and statistical methods into production-grade analytics. • Define rigorous modeling methodologies, including assumptions, calibration, sensitivity analysis, and documentation suitable for external stakeholder and rating agency review. • Serve as the primary technical lead for executive briefings and deep-dive workshops, helping stakeholders operationalize model outputs. • Partner directly with Product and Engineering teams to integrate research prototypes and custom modeling solutions into cloud-hosted simulation platforms. • Drive go-to-market initiatives by articulating complex model differentiation, appropriate use cases, and limitations during RFPs and technical demos.
• Own the end-to-end execution of AI tools, from development through production, ensuring systems are reliable, scalable, and used in real workflows • Build and deploy AI-powered tools and backend logic for member-facing products (e.g., VSL Generator, GTM Planner, Sales Script Builder) • Integrate systems across CRMs, automation platforms, and third-party APIs while maintaining clean, reliable data flow • Develop and maintain automation across core operations (onboarding, billing, renewals, access, fulfillment, and revenue verification) • Build and manage data pipelines and systems that power real-time dashboards for growth, engagement, retention, and revenue • Support AI-driven sales, marketing, content, and community systems, including campaign automation, lead scoring, and content workflows • Write clean, maintainable code, follow architecture standards, proactively identify tradeoffs, and fully document systems, APIs, and workflows
