{"id":3380099,"url":"https://alion.io/job/binance-binance-accelerator-program-ai-infra-security-engineer","title":"Binance Accelerator Program – AI Infra Security Engineer","company":{"id":44,"name":"Binance","domain":"binance.com","url":"https://alion.io/company/binance","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Security","role_family":"Security","seniority":"junior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hong Kong","Singapore","Taiwan"],"countries":["HK","SG","TW"],"hiring_countries":["SG"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":62000,"period":"year","method":"role_seniority_country_cell","sample_n":34},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"IAM","optional":false},{"name":"Incident Management","optional":false},{"name":"Least Privilege","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Linux","optional":true},{"name":"OWASP Top 10","optional":true},{"name":"SBOM","optional":true}],"status":"live","first_seen_at":"2026-10-28T02:59:35Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-10-30T00:14:27Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"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.\nAbout Binance Accelerator Program\nBinance 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.\nAbout the Role:\nAs 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.\nYou 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. \nOur 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.\nIncreasingly, 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.\n\nWhat You’ll Do:\nAI-Powered Penetration TestingLeverage 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.\nBenchmark AI-driven findings against human-led assessments, measure detection accuracy and coverage, and continuously optimize capabilities based on validated real-world results.\n\nAI-Driven Infrastructure SecurityLeverage AI to identify critical CVEs affecting our systems and generate actionable remediation recommendations.\nUse AI to detect system misconfigurations, identify potential security risks, and trigger alerts.\nAutomate the analysis of logs across diverse systems using AI to identify suspicious activities, detect potential threats, and generate actionable alerts.\n\nAI Systems SecurityLeverage AI to identify security vulnerabilities in LLM applications, AI agents, and MCP servers, including prompt injection, jailbreaks, tool misuse, data exfiltration, and privilege escalation.\nTranslate 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.\nIntegrate AI security regression testing into CI pipelines to continuously validate new models, prompts, and tools against emerging attack scenarios before production deployment.\n\nWhat We’re Looking For:\nMajoring in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics or a closely related field.\nKnowledge of at least one cloud (AWS, GCP, or Azure), and you have deployed something on it yourself.\nRelevant hands-on experience in using LLMs and coding agents in your projects, and have applied them to at least one security task (e.g., code review, recon, or analyzing a vulnerability).\nRelevant hands-on experience in AI/ML, prompt injection or jailbreaks against LLM applications, through prior internships, work experience, research projects or competitions.\nStrong passion for AI and a solid understanding of modern AI technologies such as LLMs, agents and deep learning, including their strengths and limitations. Hands-on experience applying AI to real problems, and an AI-native way of working that makes active use of AI tools in daily research and development.\nExcellent problem-solving skills, analytical rigour and the ability to work on ambiguous, adversarial problems where attackers keep adapting.\nStrong communication and documentation skills. Able to explain technical findings clearly to both technical and non-technical stakeholders.\nAble to commit to an internship of at least 6 months preferred, with consistent weekly hours.\nNice to Haves:\nExposure to security fundamentals: secrets management, SBOM / software supply chain, vulnerability scanning, etc.\nCurrently enrolled in a Master's or PhD programme at a QS World University Rankings Top 50 university.\nCloud infrastructure security experience: linux and container security, network security, HIDS, WAF, IAM, etc\nCVEs, bug bounty awards, or strong CTF results.\nHands-on experience on building AI-driven tooling for security work, such as recon, vulnerability discovery, or triage.\nFamiliarity with the OWASP Top 10 for LLM Applications, the OWASP Top 10 for Agentic Applications, and MITRE ATLAS.\nWhy Binance\nShape the future of finance \nCollaborate with world-class talent in a user-centric global organization with a flat structure\nTackle challenging projects in a fast-paced and innovative enviornment with autonomy\nThrive in a results-driven workplace with opportunities for career growth and continuous learning\nCompetitive salary and company benefits\nRemote-first, work-from-home arrangement (may vary depending on the nature of the role and team)\nBinance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.\nBy submitting a job application, you acknowledge that you have read our Candidate Privacy Notice.\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. 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