Machine Learning Engineer

• Propose and implement technical initiatives based on product roadmap needs
• Lead technical design discussions, contribute to team decisions, and provide feedback on engineering approaches
• Translate ambiguous technical challenges into actionable plans, and execute them in collaboration with the team
• Serve as the cornerstone of our engineering culture by setting and upholding exemplary standards for code quality, practices, and craftsmanship

Machine Learning, Computer Security, Computer Hacking, Artificial Intelligence (AI), Product Planning, Product Programs, Technical/Engineering Design, Technical Leadership, Data Management, Experiment Design, We are seeking talented engineers intent on changing the security industry. If you have experience on fast-moving teams and pushing out high quality experiments: we want to talk to you., * Experience working with security data problems

• MS or PhD in a quantitative discipline is nice but certainly not required - strong bias for building product-informing experiments versus published works
• 4+ years of experience designing experiments and managing data infrastructure
• Understanding of both modern and classic machine learning techniques
• Equally comfortable with Jupyter notebooks and building data pipelines
• Seeks autonomy, creative problem-solving, and moving quickly in an ambiguous environment

Founded in 2023 by Ari Herbert-Voss and Vlad Ionescu, RunSybil is on a mission to automate hacker intuition. We’re building Sybil: an AI-driven pentester that discovers vulnerabilities before they’re exploited. As adversaries adopt AI to increase their attack surface, we’re putting cutting-edge offensive security into the hands of defenders. Backed by strong investor support and early customer traction, our team is composed of experts from OpenAI, Meta, Mandiant, Palantir, Cruise, Trail of Bits, and Aptiv.