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Machine Learning Engineer

RunSybil· Engineering
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Hybrid (New York City)Full-timePosted 11mo ago

About the role

Machine Learning Engineer role at RunSybil, a security startup building an AI-powered penetration testing product. Hybrid, full-time role based in New York City with some travel, contributing to security data problems and ML experiments.

Responsibilities

  • 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

Qualifications

  • Experience working with security data problems
  • 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
  • Autonomy, creative problem-solving, and ability to move quickly in an ambiguous environment
  • MS or PhD in a quantitative discipline is nice but not required — bias for product-informing experiments versus published works

Benefits

  • Competitive Salary: Attractive startup compensation package with equity options
  • Benefits: Excellent medical, dental, and vision plans. Unlimited PTO
  • Growth Opportunities and Early Impact: Work directly with and learn from industry leaders while driving significant impact in our fast-growing security startup
Last updated Jun 24, 2026. Interested? Apply on the company site.

About RunSybil

Attack is your best defense. The future of pentesting is here.

pentestingAI-drivenvulnerability discoveryoffensive security
Company profileWebsite

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