# Machine Learning Engineer at Runsybil

- Company: Runsybil
- What the company does: 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.
- Company website: https://www.runsybil.com/
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco / New York CIty
- Work setup: Remote
- Posted: 2026-03-09
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/runsybil-jobs/9f668bdf-e5ed-4f7d-8300-117f1ccc2bab
- Page: https://www.1752.vc/careers/jobs/runsybil-machine-learning-engineer/

## 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

Tags: Engineering