Browse 43 exciting jobs hiring in Detection Engineering now. Check out companies hiring such as Roblox, Western Governors University, Nelnet in Detroit, Vancouver, Baltimore.
Work on the Information Security team at Roblox to identify risks, build defensive systems, and ship production security features while learning across application, cloud, and infrastructure domains.
Experienced security professional wanted to lead detection engineering, threat hunting, and SOC automation for WGU's hybrid cloud environment while mentoring analysts and improving incident response.
Nelnet is hiring a CyberSecurity AI Engineer to defend AI/ML systems and integrate detection and control frameworks that protect models, data pipelines, and LLMs across the enterprise.
TENEX.AI is hiring a hands-on Threat Detection Engineer to build and tune YARA-L detections in Google SecOps and help drive advanced, AI-enabled threat detection and response at scale.
Ensono seeks an impact-driven Data Scientist to design and productionize predictive and anomaly-detection models that improve uptime and reduce costs across enterprise IT environments.
Lead PlayOn’s fintech engineering team to build secure, scalable payments and settlement systems while driving PCI/SOC compliance and mentoring a high-performing group of engineers.
PlayOn Sports is hiring an AI Engineer to build and optimize real-time ML and computer vision systems that automatically generate short-form video highlights from live high school sports data.
Experienced SecOps Observability Engineer needed to own and optimize SIEM/SOAR and observability pipelines for a leading cybersecurity consultancy serving enterprise and government clients.
GuidePoint Security seeks a remote SecOps Engineer to design SIEM detection content, build log ingestion strategies, and operationalize threat intelligence across enterprise environments.
Visa is hiring an Associate Data Scientist for its CTAR team to develop ML, deep learning, and LLM-based solutions that detect and investigate cyber threats at scale.
Booz Allen is hiring a Cyber Automation Engineer to build and automate detection and response capabilities—leveraging Python, SIEM/SOAR, and integrations—to improve threat defense for enterprise clients.
Lead and grow a regional Security Operations Center for Woven by Toyota, driving detection, incident response, and automation across cloud and vehicle-related environments.
Keeper Security is hiring a Senior SIEM Engineer to architect and optimize a scalable, multi-tenant telemetry and observability platform that drives security detection, incident response, and operational insights.
Lead Radar Protect's multi-stack engineering team in NYC to deliver robust fraud and compliance solutions across mobile SDKs, web dashboards, and backend services.
Protect cloud environments and drive operational security improvements as a Cloud Security Operations Analyst focused on detection, response, and automation for a US-based partner.
Plaid is hiring a Data Scientist - Credit to develop and monitor credit risk models, craft data-driven underwriting insights, and partner with product and engineering to deploy production ML solutions.
Plaid is hiring a Staff Data Scientist (Machine Learning - Credit) to lead the design, deployment, and operation of production ML models that power credit-related product features and insights.
Lead the design and scaling of production ML infrastructure for Plaid’s fraud detection systems, driving reliability and observability at scale.
Plaid is hiring a Machine Learning Engineer on the Fraud Data team to design, deploy, and scale end-to-end ML systems (including GenAI/LLM experiments) that protect customers from fraud.
Lead the deployment, monitoring, and triage of detection content to ensure reliable, high-performing threat protection across distributed security systems in Mountain, Central, or Eastern US time zones.
Payabli is looking for a Lead AI Engineer to design and deploy production-grade ML and LLM systems that power fraud, underwriting, risk scoring, and AI agent capabilities across its payments platform.
Security Engineering Intern at SeatGeek — an opportunity to learn application security, detection, and incident response in a cloud-native production environment while contributing to real projects.
Palo Alto Networks' WildFire team is looking for an experienced security researcher to lead malware analysis and build scalable, automated detection capabilities that feed directly into production security services.
Lead a small Protection Science Engineering team in San Francisco to design and deploy abuse detection, monitoring, and enforcement systems for OpenAI products while managing investigations and cross-functional priorities.
Lead and scale Trashie’s engineering organization to architect high-performance commerce and personalization systems that engage millions and deliver measurable partner ROI.
GPTZero is hiring a Machine Learning Engineer (GenAI) to develop and fine-tune LLM agents, optimize prompts and RAG pipelines, and deliver production-quality AI features that support critical thinking.
Blackstone seeks an experienced Insider Risk Incident Responder to lead complex investigations and build advanced detection capabilities that protect the firm from internal threats.
Lead detection and investigations into state-sponsored threats at LinkedIn, building scalable, data-driven workflows and leveraging AI to disrupt high-harm abuse.
Lead incident response and detection engineering at LinkedIn to design scalable AI/ML-driven systems and automated workflows that detect and mitigate adversarial abuse across a global platform.
Experienced data scientist needed to develop and deploy ML models for payment optimization, fraud detection, and LTV forecasting across Disney's streaming platforms.
Lead LinkedIn's Detection Engineering team to design, deploy, and continuously improve threat detection and monitoring capabilities that protect millions of members and enterprise services.
Lead and scale distributed software and AI engineering teams for an Atlanta-based drone detection and defense technology company, shaping technical direction and delivery during a critical growth phase.
At Salesforce, this Lead Software Engineer role will drive endpoint security architecture and implementation to strengthen enterprise-wide defenses across diverse platforms.
Lead the QA strategy for GenAI-powered e-learning features by designing prompt validation, HITL review workflows, and measurable evaluation protocols to ensure safe, reliable model behavior.
Lead cross-functional engineering and data science teams at Visa to build enterprise-scale AI/ML and data platforms that detect and prevent payment fraud.
Lead Adobe's Cyber Threat Hunt function to design strategic hunt campaigns, build investigative capabilities, and transform hunt outcomes into enterprise-wide detection and telemetry improvements.
Mastercard is hiring a Vice President of Data Science to lead horizontal MLOps, platform engineering, and data integration efforts that enable enterprise-scale AI/ML across Security Solutions.
Lead NVIDIA’s Cyber Defense Engineering organization to design, build, and operate an AI-enhanced SOC and detection program protecting GPU-driven products and cloud services.
M&T Bank seeks an Associate Cybersecurity Engineer in Bridgeport to assist with configuration, testing, deployment, and maintenance of security systems across DLP, detection, identity, network, protection, and cloud functions.
SpaceX is hiring a Security Engineer in Redmond to design detection tooling, automation, and data pipelines that enable the Security Operations Center to detect and respond to advanced threat actors.
Datadog is hiring a Senior Security Engineer to lead detection engineering efforts, creating detection-as-code and operational telemetry to identify threats across cloud-native and enterprise environments.
Senior Software Engineer (Risk Engineering) to architect and implement scalable risk, fraud, and decisioning systems using Java, Spring Boot, AWS, and modern frontend technologies.
Data Scientist (Watchlist) at Socure — design, build, and productionize machine learning models and analytics to detect identity fraud and improve risk decisions across large-scale data.
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