Reinforcement Learning Infrastructure, Cybersecurity

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🔥 1 hour ago

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Bugcrowd

201 - 500 employees

Founded 2012

🔒 Cybersecurity

☁️ SaaS

🏢 Enterprise

💰 $30M Series D on 2020-04

Cybersecurity • SaaS • Enterprise

Bugcrowd is a leading platform that provides continuous security testing solutions, enabling organizations to stay ahead of cyberthreats. By leveraging a global community of trusted security researchers, Bugcrowd offers services such as penetration testing as a service, vulnerability disclosure, bug bounty programs, and attack surface management. The company assists industries such as financial services, healthcare, and technology in identifying and prioritizing vulnerabilities, ensuring proactive protection against potential cyber attacks. Driven by data and AI, Bugcrowd's comprehensive approach integrates seamlessly with existing systems to streamline the remediation of security issues, enhancing the overall security posture of its clients.

📋 Description

• Build the infrastructure and tooling that transforms real-world vulnerability research into large-scale reinforcement learning environments • Design pipelines that ingest software projects and analyze them with Bugcrowd’s Mayhem platform • Collaborate with frontier AI labs including Anthropic, OpenAI, and Cohere

🎯 Requirements

• Strong systems engineering background • Understanding of reinforcement learning workflows • Building clean, reproducible Linux ML environments (containers, MCP, etc) • System security background in binary exploitation, such as buffer overflows, fuzzing, exploitation, and x86/64 • Experience developing applications in Python and C, with Rust a plus • Comfort working with Linux systems and low-level debugging

🏖️ Benefits

• Discretionary bonus program • Commission plan • Opportunity to participate in a collaborative work environment

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