Binance Accelerator Program – AI Infra Security Engineer

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, and more. Our mission is to increase the freedom of money and financial access for people around the world. About Binance Accelerator Program Binance Accelerator Program (BAP) is a 3-6 month internship program designed for Early Career talent to have firsthand experience in the rapidly expanding digital assets space. You will be given the opportunity to develop your skills at Binance and understand what it’s like to work at the world's leading blockchain ecosystem. As part of your internship in the BAP, there will also be opportunities for networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about the BAP Program HERE. About the Role: • As the digital-asset industry continues to evolve, so does the risk landscape across the infrastructure. To stay ahead, Binance Infra Team is investing heavily in AI-driven abnormal detection, incident management and system pentest, so that we can proactively identify and address potential vulnerabilities and keep our platform secure. You will join Binance Infra Team to secure our cloud estate: large-scale, multi-account footprints across AWS, GCP, and Alibaba Cloud, plus the CI/CD and artifact pipelines that feed them. Our scope is production cloud infrastructure, not corporate IT or employee devices. We operate large-scale host and runtime activity monitoring across the fleet, and we prefer open-source, cloud-native solutions. Increasingly, that work is done with LLM agents: a fleet of agents that carries out SOC analysis and pentesting, operating tooling through well-defined tool interfaces inside a harness we build and secure ourselves. What You’ll Do: • AI-Powered Penetration Testing • Leverage LLM-driven agents to automate reconnaissance, attack path discovery, proof-of-concept (PoC) generation, and false-positive triage across cloud infrastructure, internal applications, and APIs. • Benchmark AI-driven findings against human-led assessments, measure detection accuracy and coverage, and continuously optimize capabilities based on validated real-world results. • AI-Driven Infrastructure Security • Leverage AI to identify critical CVEs affecting our systems and generate actionable remediation recommendations. • Use AI to detect system misconfigurations, identify potential security risks, and trigger alerts. • Automate the analysis of logs across diverse systems using AI to identify suspicious activities, detect potential threats, and generate actionable alerts. • AI Systems Security • Leverage AI to identify security vulnerabilities in LLM applications, AI agents, and MCP servers, including prompt injection, jailbreaks, tool misuse, data exfiltration, and privilege escalation. • Translate red-team findings into actionable security controls, including least-privilege IAM and tool permissions, sandboxing, input/output filtering, human-in-the-loop approvals, and comprehensive audit logging. • Integrate AI security regression testing into CI pipelines to continuously validate new models, prompts, and tools against emerging attack scenarios before production deployment. What We’re Looking For: • Majoring in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics or a closely related field. • Knowledge of at least