Startups · AI

Machine Learning Engineer

Runsybil · San Francisco / New York CIty · Remote

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About Runsybil

RunSybil is an autonomous offensive security solution. Find exploitable vulnerabilities before a breach, eliminate noise, and remediate at enterprise scale. Backed by Menlo and Conviction.

About the role

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. Propose and implement technical initiatives based on product roadmap needs

What they're looking for

  • 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
More about this role

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.

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.

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

Experience working with security data problems

MS or PhD...

Read the full posting on Runsybil's site ↗

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