Machine Learning Engineer
RunSybil · Hybrid
MeritLog read this listing from RunSybil's Ashby job board and last checked it on September 8, 2026.
Source: the employer's Ashby job board. Open the original listing for current details.
Job details
- Work model
- Hybrid
- Salary
- Not listed by source
- Location
- San Francisco / New York CIty
- Occupation
- Computer Systems Engineers/Architects(O*NET 15-1299.08)
Hiring context
How this role compares at RunSybil
RunSybil has 9 live roles in MeritLog’s catalog across 3 job families, and 2 of them are in data & analytics. 0 of those listings publish a pay range, a disclosure rate of 0%.
RunSybil concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
What the role asks for
What you'd do
- 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
What they're asking for
- Experience working with security data problemsSkill
- MS or PhD in a quantitative discipline is nice but certainly not required - strong bias for building product-informing experiments versus published worksEducationPreferred
- 4+ years of experience designing experiments and managing data infrastructureExperience
- Understanding of both modern and classic machine learning techniquesSkill
- Equally comfortable with Jupyter notebooks and building data pipelinesSkill
- Seeks autonomy, creative problem-solving, and moving quickly in an ambiguous environmentSkill
Parsed by MeritLog from the employer’s own posting. The full description follows below.
Job description
About RunSybil 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. About this 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. What You'll Do: - 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 We’re looking for someone who brings: - 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 Location: Hybrid role based in New York City. Some travel may be required. Diverse teams build better products. RunSybil is committed to hiring people who bring different perspectives, lived experiences, and backgrounds to our work. We encourage candidates of all races, ethnicities, gender identity and expression, sexual orientation, disability or medical conditions, ages, religions, and socioeconomic backgrounds to apply. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. If you're excited about this role but don't check every box, we still want to hear from you.