RunSybil
Machine Learning Engineer
San Francisco / New York CIty
Sponsorship not specifiedDetected 135 days ago
Machine LearningData EngineeringProduct ManagementProduct StrategyCollaborationProblem Solving
About the role
- We are seeking talented engineers intent on changing the security industry.
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
- Equally comfortable with Jupyter notebooks and building data pipelines
- Diverse teams build better products.
Requirements
- If you have experience on fast-moving teams and pushing out high quality experiments: we want to talk to you.
- 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
- Some travel may be required.
Benefits
- Understanding of both modern and classic machine learning techniques
- We encourage candidates of all races, ethnicities, gender identity and expression, sexual orientation, disability or medical conditions, ages, religions, and socioeconomic backgrounds to apply.
Company info
- About RunSybil
- Founded in 2023 by Ari Herbert-Voss and Vlad Ionescu, RunSybil is on a mission to automate hacker intuition.
- We're looking for someone who brings:
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This listing is sourced directly from RunSybil's careers page and normalized into a canonical job model.