The role involves developing and productionizing security detection models, collaborating with security research, and shaping engineering culture as a founding team member.
Mission
Role
To secure the next generation of the web
For web3 to get into the hands of mainstream users, there cannot be exploits that steal millions of dollars in a single atomic transaction. The current exploit detection and response solutions are not sufficient to keep billions of dollars secure. We believe a combination of research-based and data-driven detection solutions and a novel response solution will leapfrog the industry forward in the battle against exploiters.
Role
Responsibilities
- Hands on develop and productionize Guardrail’s security detection models to be the best in the industry
- Own data analysis, working closely with our security researcher and CTO to continuously develop and backtest across our suite of detection techniques
- Perform data analysis on current exploits to prove and verify in-house research theses.
- Help shape the engineering culture at Guardrail as a member of the founding team
Requirements
- 5+ years of experience developing high-quality prediction models
- Experience in Python, and modern AI frameworks
- Ability to handle the breadth of scope and ambiguity as a founding member of the company
- Be borderline obsessed with data science
- (Bonus) Experience with web3 technologies and products
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With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
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