1 день назад
AI Security Engineer
80 000 - 105 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Security Engineer (AI/Cybersecurity): Designing and implementing security controls, threat models, and incident response capabilities for LLMs, model APIs, training data pipelines, and AI-powered applications with an accent on prompt injection, model abuse, data exfiltration, and supply chain risks. Focus on building defenses for AI applications and infrastructure, reviewing security architectures, and addressing adversarial machine learning challenges.
Location: 100% remote within the United States
Salary: $80,000–$105,000 annually
Company
is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
What you will do
- Design and implement security controls for AI and machine learning systems.
- Develop threat models and conduct security architecture reviews for AI-powered applications and infrastructure.
- Build incident response capabilities addressing prompt injection, model abuse, data exfiltration, and supply chain risks.
- Protect LLMs, model APIs, training data pipelines, and AI application environments.
- Apply security engineering practices across application security, identity, cryptography, and cloud infrastructure.
Requirements
- Must be located in the United States; eligible candidates include U.S. citizens, Green Card holders, EAD holders, and H-1B transfer candidates.
- New H-1B visa sponsorship is not available.
- Six or more years of security engineering experience, including significant work with AI or ML systems.
- Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or a related field.
- Strong knowledge of LLM internals, modern AI architectures, application security, identity, cryptography, cloud security, and infrastructure controls.
- Proficiency in Python and at least one systems language, with strong written and verbal communication skills.
Nice to have
- Publications, talks, or CTF participation in AI security.
- Experience red-teaming LLM-based products.
- Knowledge of differential privacy and other privacy-preserving machine learning techniques.
- Experience in regulated industries or contributing to open-source AI security tooling.
Culture & Benefits
- Full-time direct W2 employment.
- Career growth opportunities within an established technology consulting and software development organization.
- Equal employment opportunity across recruitment, employment, compensation, promotion, and other employment practices.
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