Machine Learning Engineer

RunSybil Inc.; New York (NY); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity options

Medical/dental/vision

Unlimited PTO

Job summary

RunSybil is seeking an ML Engineer in a hybrid New York City role to advance their AI security product. You will design experiments, build data infrastructure, and guide engineering decisions while collaborating with a fast-moving team.

The ideal candidate brings experience with ML techniques, data pipelines, and a bias for product-driven experimentation in a startup environment. Some travel may be required.

Qualifications

• Experience with security data problems.
• 4+ years designing experiments and managing data infrastructure.
• Understanding of modern and classic machine learning techniques.
• Comfort with notebooks and building data pipelines.
• Autonomy and ability to move quickly in ambiguity.

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 with the team.
• Set and uphold exemplary standards for code quality, practices, and craftsmanship.

Skills

Security data problems

Experiment design

Data infrastructure

Machine learning techniques

Jupyter notebooks

Data pipelines

Autonomy

Education

MS/PhD in quantitative discipline

Job description

View all jobs Machine Learning Engineer New York • San Francisco Engineering Hybrid Full-time

About RunSybil

RunSybil is an AI security startup scaling offensive security services by automating hacker intuition. We’re building Sybil: an AI-powered penetration testing product that finds vulnerabilities faster than human hackers. Backed by strong investor support and early customer traction, our team is composed of experts from the likes of OpenAI, Meta, Mandiant, Palantir, Cruise, and Trail of Bits.

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 Has A Mix of The Following:

• 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.

What We Offer:

• 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

We understand not every applicant will meet every qualification. We value hard work and potential, and still want to hear from you!