{"schemaVersion":"jobsearcher.job.v1","id":"bbe90199888dbfde543af66a","url":"https://jobsearcher.com/jobs/bbe90199888dbfde543af66a","canonicalUrl":"https://jobsearcher.com/jobs/bbe90199888dbfde543af66a","title":"Senior Application Security Engineer, AI and Machine Learning","description":"Who We Are\nLightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.\nThrough our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.\nWe serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.\nThe Way We Work\nThe people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice:\nMove with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping.\nTake Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through.\nCommunicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together.\nBuild Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work.\nRaise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most.\nThink Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact.\nWhat We're Looking For\nWe are looking for a Senior Application Security Engineer to help secure our AI, machine learning, and inference platforms. This is a hands on technical role focused on building security into modern AI infrastructure, inference systems, and developer platforms.\nYou will work closely with platform engineers, ML engineers, and infrastructure teams to identify risks, design secure architectures, and build security tooling that enables engineers to move quickly and safely.\nThis role is execution focused. You will drive technical implementation, perform deep security reviews, and help build out our application security capabilities alongside the CISO and engineering leadership.\nThis role is hybrid out of our Seattle or San Francisco offices, with an in-office requirement of at least 2 days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this role at this time.\n\nWhat You'll Do\nSecure AI and Machine Learning Systems\nPerform threat modeling across AI platforms, inference services, and ML pipelines\nIdentify risks such as prompt injection, model extraction, adversarial inputs, and data leakage\nReview model serving architectures and inference pipelines\nPartner with ML engineers to secure training, fine tuning, and deployment workflows\nHelp design isolation and security controls for multi tenant AI workloads\nApplication Security Engineering\nPerform architecture and design security reviews\nConduct targeted code reviews for high risk components\nIdentify security gaps in APIs, micro-services, and distributed systems\nBuild secure patterns for authentication, authorization, and service to service communication\nHelp engineering teams implement secure defaults and guardrails\nInference Platform Security\nSecure customer facing inference APIs and services\nProtect against abuse, model extraction, and adversarial behavior\nDesign rate limiting, isolation, and workload protection controls\nBuild monitoring and detection for anomalous inference behavior\nAI Supply Chain and Model Security\nEvaluate open source models and dependencies\nSecure model artifacts and distribution pipelines\nImplement integrity validation and provenance controls\nHelp secure container images and runtime environments\nSecurity Automation and Tooling\nBuild security automation for AI and application pipelines\nIntegrate security scanning into CI/CD workflows\nDevelop tooling to help engineers detect and fix issues early\nImprove developer experience with security guardrails\n\nWhat You'll Need\nRequired Experience\nStrong background in application security engineering\nExperience performing threat modeling and architecture reviews\nExperience securing APIs and distributed systems\nExperience working in cloud environments such as AWS, GCP, or Azure\nExperience with containers and Kubernetes\nStrong scripting or programming skills such as Python, Go, or similar\nExperience working closely with engineering teams to implement security improvements\nAI and Machine Learning Experience\nExperience securing ML pipelines, inference systems, or data platforms\nFamiliarity with risks such as prompt injection, model extraction, and adversarial inputs\nExperience reviewing model serving architectures\nUnderstanding of training data security and data leakage risks\nIt's a Strong Plus If You Have\nRed team or offensive security experience\nExperience crafting payloads and evaluating CVEs for exploitability in diverse environments\nExperience with GPU infrastructure or high performance computing\nExperience with Hugging Face, PyTorch, TensorFlow, or similar frameworks\nExperience with LLM systems, RAG pipelines, or agent frameworks\nExperience building security automation pipelines\nExperience securing multi tenant infrastructure\nWhat Success Looks Like\nSecurity is embedded into AI platform architecture early\nEngineering teams ship quickly with secure defaults\nInference platforms are resilient against abuse and extraction\nModel pipelines are secure and auditable\nSecurity tooling scales with engineering growth\nWhy This Role Matters\nThis role sits at the intersection of application security, AI infrastructure, and developer platforms. You will help define how we secure modern AI systems while enabling engineers to move quickly and safely.\nYou will work closely with engineering leadership and the CISO to build practical, scalable security capabilities that support rapid innovation in AI and machine learning.\n\nCompensation\nBenefits and Perks\nWe offer a comprehensive and competitive benefits package designed to support our employees' health, well-being, and long-term success:\nComprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents.\nMeaningful Equity: RSUs that give employees a stake in the company's long-term success.\nRetirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.).\nFlexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance.\nCompany-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge.\nPaid Parental & Family Leave: Paid leave to support you and your family through life's important moments.\nProfessional Development: Annual learning and development allowance to support your professional growth.\nWellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being.\nSabbatical Program: Four weeks of paid sabbatical leave after four years of service.\nFlexible Work: Flexible schedules and a hybrid work model for our office-based teams.\nIn-Office Meals: Complimentary meals at our office hubs.\nBenefits may vary by location, team, and role.\n\nAt Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.","company":"Lightningai","rawCompany":"lightningai","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-06T13:30:49.169Z","occupations":[{"code":"15-1299.05","title":"Information Security Engineers","slug":"information-security-engineers"},{"code":"15-1212.00","title":"Information Security Analysts","slug":"information-security-analysts"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Application Security Engineer, AI and Machine Learning","description":"Who We Are\nLightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.\nThrough our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.\nWe serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.\nThe Way We Work\nThe people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice:\nMove with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping.\nTake Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through.\nCommunicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together.\nBuild Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work.\nRaise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most.\nThink Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact.\nWhat We're Looking For\nWe are looking for a Senior Application Security Engineer to help secure our AI, machine learning, and inference platforms. This is a hands on technical role focused on building security into modern AI infrastructure, inference systems, and developer platforms.\nYou will work closely with platform engineers, ML engineers, and infrastructure teams to identify risks, design secure architectures, and build security tooling that enables engineers to move quickly and safely.\nThis role is execution focused. You will drive technical implementation, perform deep security reviews, and help build out our application security capabilities alongside the CISO and engineering leadership.\nThis role is hybrid out of our Seattle or San Francisco offices, with an in-office requirement of at least 2 days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this role at this time.\n\nWhat You'll Do\nSecure AI and Machine Learning Systems\nPerform threat modeling across AI platforms, inference services, and ML pipelines\nIdentify risks such as prompt injection, model extraction, adversarial inputs, and data leakage\nReview model serving architectures and inference pipelines\nPartner with ML engineers to secure training, fine tuning, and deployment workflows\nHelp design isolation and security controls for multi tenant AI workloads\nApplication Security Engineering\nPerform architecture and design security reviews\nConduct targeted code reviews for high risk components\nIdentify security gaps in APIs, micro-services, and distributed systems\nBuild secure patterns for authentication, authorization, and service to service communication\nHelp engineering teams implement secure defaults and guardrails\nInference Platform Security\nSecure customer facing inference APIs and services\nProtect against abuse, model extraction, and adversarial behavior\nDesign rate limiting, isolation, and workload protection controls\nBuild monitoring and detection for anomalous inference behavior\nAI Supply Chain and Model Security\nEvaluate open source models and dependencies\nSecure model artifacts and distribution pipelines\nImplement integrity validation and provenance controls\nHelp secure container images and runtime environments\nSecurity Automation and Tooling\nBuild security automation for AI and application pipelines\nIntegrate security scanning into CI/CD workflows\nDevelop tooling to help engineers detect and fix issues early\nImprove developer experience with security guardrails\n\nWhat You'll Need\nRequired Experience\nStrong background in application security engineering\nExperience performing threat modeling and architecture reviews\nExperience securing APIs and distributed systems\nExperience working in cloud environments such as AWS, GCP, or Azure\nExperience with containers and Kubernetes\nStrong scripting or programming skills such as Python, Go, or similar\nExperience working closely with engineering teams to implement security improvements\nAI and Machine Learning Experience\nExperience securing ML pipelines, inference systems, or data platforms\nFamiliarity with risks such as prompt injection, model extraction, and adversarial inputs\nExperience reviewing model serving architectures\nUnderstanding of training data security and data leakage risks\nIt's a Strong Plus If You Have\nRed team or offensive security experience\nExperience crafting payloads and evaluating CVEs for exploitability in diverse environments\nExperience with GPU infrastructure or high performance computing\nExperience with Hugging Face, PyTorch, TensorFlow, or similar frameworks\nExperience with LLM systems, RAG pipelines, or agent frameworks\nExperience building security automation pipelines\nExperience securing multi tenant infrastructure\nWhat Success Looks Like\nSecurity is embedded into AI platform architecture early\nEngineering teams ship quickly with secure defaults\nInference platforms are resilient against abuse and extraction\nModel pipelines are secure and auditable\nSecurity tooling scales with engineering growth\nWhy This Role Matters\nThis role sits at the intersection of application security, AI infrastructure, and developer platforms. You will help define how we secure modern AI systems while enabling engineers to move quickly and safely.\nYou will work closely with engineering leadership and the CISO to build practical, scalable security capabilities that support rapid innovation in AI and machine learning.\n\nCompensation\nBenefits and Perks\nWe offer a comprehensive and competitive benefits package designed to support our employees' health, well-being, and long-term success:\nComprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents.\nMeaningful Equity: RSUs that give employees a stake in the company's long-term success.\nRetirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.).\nFlexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance.\nCompany-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge.\nPaid Parental & Family Leave: Paid leave to support you and your family through life's important moments.\nProfessional Development: Annual learning and development allowance to support your professional growth.\nWellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being.\nSabbatical Program: Four weeks of paid sabbatical leave after four years of service.\nFlexible Work: Flexible schedules and a hybrid work model for our office-based teams.\nIn-Office Meals: Complimentary meals at our office hubs.\nBenefits may vary by location, team, and role.\n\nAt Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.","datePosted":"2026-08-06T13:30:49.169Z","dateModified":"2026-08-06T13:30:49.169Z","hiringOrganization":{"@type":"Organization","name":"Lightningai","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"bbe90199888dbfde543af66a"},"url":"https://jobsearcher.com/jobs/bbe90199888dbfde543af66a"}}