Staff Data Scientist, GenAI and Agentic SOC

Responsibilities

• check_circle Drive the technical direction and execution for all machine learning (ML) and AI initiatives within the team, acting as the central tech lead for our Generative AI transformation.
• check_circle Design, build, and scale the core infrastructure and pipelines necessary to develop, fine-tune, and deploy autonomous security agents (like our alert response agents) into production.
• check_circle Create testing and evaluation methodologies to continuously measure the safety, accuracy, and performance of Large Language Models (LLMs) and agentic workflows in high-stakes security environments.
• check_circle Partner closely with software engineering, product, and UX teams to seamlessly blend deterministic playbooks with dynamic AI intelligence, ensuring a flawless experience for SOC analysts.
• check_circle Mentor peers, set the standard for ML operational excellence, and foster a startup-like culture of rapid, safe experimentation and innovation.

Basic qualifications

• Batchelor's degree or equivalent practical experience.
• 10 years of experience in software engineering and data science.

Preferred qualifications

• Experience leading the technical direction of machine learning or data science projects from inception to production.
• Experience developing, fine-tuning, and deploying generative AI and Large Language Models (LLMs) in enterprise environments.
• Experience designing and implementing evaluation frameworks to measure the safety, accuracy, and performance of AI models.
• Experience architecting machine learning infrastructure and data pipelines for autonomous or agent-based systems.
• Experience collaborating with cross-functional software engineering, product management, and UX teams to integrate AI models into user-facing products.
• Experience working with cybersecurity concepts, such as incident response, threat detection, SIEM, or SOAR workflows.

About the company