Senior Applied Scientist, Security Issue Management
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The role
Lead the design and deployment of state-of-the-art ML models and agentic AI solutions for security tooling.
Identify bottlenecks across the software development lifecycle and design experiments to measure their impact on builder productivity.
Design and evaluate ML models, conduct A/B tests and observational studies, and iterate quickly to improve results.
Integrate ML into production security tooling and prototype LLM-powered features that automate repetitive security tasks.
Collaborate with cross-functional teams to translate research into practical, scalable solutions while maintaining high security standards.
Present findings to leadership, gather feedback from builder communities, and define best practices for ML experimentation, development, and deployment.
Identify bottlenecks across the software development lifecycle and design experiments to measure their impact on builder productivity.
Design and evaluate ML models, conduct A/B tests and observational studies, and iterate quickly to improve results.
Integrate ML into production security tooling and prototype LLM-powered features that automate repetitive security tasks.
Collaborate with cross-functional teams to translate research into practical, scalable solutions while maintaining high security standards.
Present findings to leadership, gather feedback from builder communities, and define best practices for ML experimentation, development, and deployment.
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