
5001 - 10000 employees
Founded 2011
🔒 Cybersecurity
☁️ SaaS
🤖 Artificial Intelligence
Cybersecurity • SaaS • Artificial Intelligence
CrowdStrike is a cybersecurity company that provides cloud-based security services to stop breaches. It is recognized as a leader in endpoint protection, identity and cloud security, and managed detection and response. CrowdStrike's platform, Falcon, integrates artificial intelligence to offer real-time visibility, detection, and protection against sophisticated cyber threats. The company is lauded for its effectiveness in securing networks and data, making it a trusted partner for businesses worldwide.
🔥 0 minutes ago
🌐 United States, Canada – Remote
🏈 Alabama, Alaska, +45 more states – Remote
💵 $140k - $215k / year
⏰ Full Time
🟠 Senior
📊 Data Scientist
🦅 H1B Visa Sponsor
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5001 - 10000 employees
Founded 2011
🔒 Cybersecurity
☁️ SaaS
🤖 Artificial Intelligence
Cybersecurity • SaaS • Artificial Intelligence
CrowdStrike is a cybersecurity company that provides cloud-based security services to stop breaches. It is recognized as a leader in endpoint protection, identity and cloud security, and managed detection and response. CrowdStrike's platform, Falcon, integrates artificial intelligence to offer real-time visibility, detection, and protection against sophisticated cyber threats. The company is lauded for its effectiveness in securing networks and data, making it a trusted partner for businesses worldwide.
• Design, build, and deploy advanced AI systems that analyze and prioritize millions of security events per second • Develop intelligent models for anomaly detection, event classification, ranking, correlation, and automated security reasoning • Lead architecture and technical strategy for large-scale retrieval, ranking, vector search, RAG, and anomaly detection systems • Drive innovation across LLMs, AI-powered discovery, personalization, and autonomous AI workflows • Define the future direction of AI-driven reasoning, ranking, and investigation capabilities • Own end-to-end AI/ML architecture, including data pipelines, feature engineering, model development, deployment, monitoring, evaluation, and continuous improvement • Establish scalable architecture patterns, engineering standards, experimentation frameworks, and operational best practices across multiple teams • Drive foundational investments and technical direction across AI platforms, retrieval infrastructure, model-serving systems, and ML tooling • Balance model quality, customer experience, latency, scalability, reliability, security, and infrastructure cost • Define evaluation methodologies, experimentation strategies, and success metrics for product, model, and business impact • Partner with Product, Engineering, Security, Infrastructure, and Operations teams to identify opportunities and deliver scalable AI solutions • Communicate technical trade-offs, recommendations, and results to technical and executive audiences • Lead ambiguous, multi-quarter initiatives across Product, Engineering, Data Science, and other stakeholders • Influence organization-wide technical strategy, investment priorities, and long-term AI roadmap decisions • Represent the organization in executive reviews and drive alignment on major initiatives • Mentor junior scientists and foster technical excellence and innovation
• 8+ years of experience building and scaling large-scale AI/ML, search, retrieval, ranking in the cybersecurity space • MS, PhD, or equivalent industry experience in Computer Science, Statistics, Physics, or a related quantitative discipline • Deep expertise in semantic retrieval, vector search, ranking systems, recommendation systems, NLP/LLMs, RAG architectures, and agentic AI systems • Strong understanding of retrieval and ranking trade-offs, experimentation methodologies, model evaluation, and operational excellence • Experience operating large-scale production systems with demanding latency, scalability, reliability, and cost requirements • Proven track record of delivering measurable business impact through AI and machine learning innovation • Experience leading cross-functional initiatives across multiple organizations and stakeholder groups • Ability to influence executive stakeholders and drive strategic technical decisions across large organizations • Exceptional communication, leadership, strategic thinking, and mentoring skills • Strong programming skills in Go, Python, SQL, and modern machine learning ecosystems • Experience designing and deploying end-to-end ML solutions, including data acquisition, feature engineering, model development, evaluation, deployment, and monitoring • Strong knowledge of experimentation frameworks, online evaluation, A/B testing, causal inference, and model validation methodologies • Proficiency in Anomaly Detection, MITRE entities, Detection Engineering, Triage and Investigation • Experience with modern AI infrastructure, large-scale data processing, distributed systems, and production ML platforms • Ability to communicate data-driven insights, uncertainty, assumptions, and trade-offs to technical and non-technical audiences • Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes • Canadian-based employment requires legal entitlement to work in Canada • Applicants selected to move forward in Canada are subject to background checks, including criminal record, credit, and/or reference checks
• 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 • Bonuses • Equity grants • Health insurance • 401k • Paid time off • Variable/incentive compensation • Benefits package
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