Security Data Science Engineer

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* Job Category Software Engineering Job Details
**** About Salesforce
**** Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
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** Our Security Engineering organization plays a critical role in building intelligent, data-driven and AI-powered systems that enable real-time threat detection, automated attack response, and proactive defense across Salesforce’s global infrastructure. We develop platforms that combine security domain expertise with advanced data science and AI agent capabilities to transform large-scale security telemetry into actionable detections, decisions, and automated actions.
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* Position Overview:

** We are seeking a talented and motivated Security Data Scientist / ML Engineer with experience deploying, monitoring, and maintaining machine learning systems in security domains to join our Security Engineering organization. In this role, you will collaborate closely with security engineers, product teams, and internal stakeholders to understand high-impact security problems, design detection and response solutions, and contribute to the development, release, and operation of models and AI agents that protect Salesforce  a senior technical contributor, you will directly impact the effectiveness of Salesforce’s real-time threat detection and automated defense capabilities.
**** You will also play a key role in advancing our use of large language models (LLMs) and AI agents to accelerate security insight generation and response. By integrating LLMs with security telemetry and detection pipelines, you will help automate root cause analysis, generate contextual explanations, and enable autonomous or semi-autonomous security actions.
****** Responsibilities:
******** Design and Develop AI-Driven Defense Systems:
** Build and deploy intelligent, data-driven systems that utilize machine learning and AI agents to enable real-time attack pattern identification, risk assessment, and proactive defense across Salesforce products and global infrastructure.
****** Advance Agentic AI & LLM Capabilities:
** Lead the integration of Large Language Models (LLMs) and autonomous agents with security data pipelines. Focus on automating root cause analysis, generating contextual explanations for risks, and enabling autonomous or semi-autonomous security actions.
****** Operationalize Security Models:
** Oversee the end-to-end lifecycle—including development, release, monitoring, and operation—of ML models and AI agents to ensure they deliver high-impact protection at scale.
****** Automate Attack Simulation:
** Develop autonomous AI agents capable of executing complex security tasks, such as performing advanced data correlations, identifying specific attack patterns, conducting automated penetration testing, and analyzing security impacts.
****** Transform Telemetry into Action:
** Engineer platforms that synthesize large-scale security telemetry into actionable risk intelligence and automated decisions.
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* Cross-Functional Collaboration:

** Partner closely with security engineers, infrastructure teams, and product stakeholders to deeply understand the threat landscape and design solutions that address high-priority security problems.
**** Apply LLMs and prompt engineering to automate generation of security insights, explanations, and response workflows from detections and anomalies  Continuously improve algorithmic performance with a focus on detection, classification, and behavioral modeling in security and threat intelligence domains  Collaborate effectively with team members and suggest improvements to reduce time-to-detection and mature our security…