Machine Learning Engineer
- Location
- New York City, NY (Remote) · Hybrid
- Job type
- Full-time
- Level
- Senior
- Experience
- 4+ years
- Listed
- 30 days ago
Skills & highlights for this role
- experiment design
- data infrastructure
- machine learning
- security data
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.
- If you're excited about this role but don't check every box, we still want to hear from you.
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.
Equal opportunity and legal notices
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.
From RunSybil's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
Where is the Machine Learning Engineer job at RunSybil located?
Yes, this Machine Learning Engineer opening at RunSybil is listed as New York City, NY (Remote) (Hybrid). Always check RunSybil's application page for specific state eligibility or relocation policies.
What qualifications are required for Machine Learning Engineer at RunSybil?
For the Machine Learning Engineer role, RunSybil highlights 4+ years of relevant experience; experience with experiment design, data infrastructure, machine learning, security data. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Machine Learning Engineer position at RunSybil?
This listing links directly to RunSybil's Ashby application page. You can apply directly on RunSybil's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.