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
Similar Jobs
Artificial Intelligence • Information Technology • Social Impact • Software
Lead architecture, vendor strategy, and delivery of enterprise-grade agentic AI systems. Build production multi-agent workflows, control planes, and compliance posture. Act as senior technical client interlocutor, hire and mentor engineers, and create reusable engineering patterns and observability for scalable, auditable enterprise deployments.
Top Skills:
Active DirectoryAnthropic ClaudeApi DesignArizeAsync SystemsAutogenAzureAzure Ai ServicesAzure OpenaiCopilot StudioCrewaiEvent-Driven ArchitectureGCPLanggraphLangsmithMicrosoft Agent FrameworkMicrosoft TeamsOpenaiPower PlatformRag PipelinesRailwayRetrieval ArchitectureSemantic KernelSharepointSupabaseVector StoresWeights And Biases
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Design, build, and operate Kubernetes cluster management tooling and developer-facing workflows. Deliver compute capabilities (jobs, cron, deployments, EFS, right-sizing), automate toil, improve observability and incident response, and partner with Security/Reliability teams. Apply AI tooling to improve infrastructure automation and developer productivity.
Top Skills:
ArgocdAWSCncfEc2EcsEfsEksEnvoyGCPGenerative AiHelmIamIstioKubernetesMesosNomadPrometheusVpc
Artificial Intelligence • HR Tech • Information Technology • Machine Learning • Software • App development • Industrial
You will own frontend systems, lead initiatives in UX and performance, uphold standards, and mentor engineers to enhance quality.
Top Skills:
JavaScriptReactReact Native
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.
