Principal ML Architect (Cybersecurity)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Principal ML Architect (Cybersecurity): Leading the design and development of next-generation AI systems for cybersecurity with an accent on LLMs, SLMs, and advanced machine learning techniques. Focus on building robust, scalable, and explainable AI agents for threat detection, data protection, and automated security workflows in high-volume environments.
Location: Must be based in the United States (Sunnyvale, CA office mentioned).
Salary: $187,000 – $349,250 USD (depending on geographic market).
Company
is a global leader in human- and agent-centric cybersecurity, protecting enterprises against threats across email, cloud, and collaboration tools.
What you will do
- Design and lead architecture for AI-driven security platforms including threat detection and DLP.
- Develop state-of-the-art SLMs and LLMs tailored for security use cases like log analysis and policy reasoning.
- Architect pipelines for domain adaptation, instruction tuning, and model distillation.
- Design AI agents to automate security operations and integrate with enterprise tools.
- Establish rigorous evaluation frameworks for detection accuracy, robustness, and safety.
- Optimize inference systems for low latency, high throughput, and cost efficiency in production.
Requirements
- 10+ years of experience in ML/AI systems with a focus on deep learning and production ML.
- Proven experience scaling LLMs/SLMs or advanced ML systems in security or adversarial domains.
- Deep understanding of Transformer architectures, RAG, and hybrid AI systems.
- Hands-on experience with model training, fine-tuning, distillation, and distributed frameworks like PyTorch.
- Strong programming skills in Python and experience with MLOps practices.
- Must be authorized to work in the United States.
Nice to have
- Experience building AI systems for SaaS security or GenAI security platforms.
- Familiarity with multi-agent systems for security automation.
- Background in AI safety, adversarial ML, or model interpretability.
- Contributions to AI/ML research or open-source security tooling.
Culture & Benefits
- Competitive compensation and comprehensive benefits package.
- Flexible work environment with a three-week Work from Anywhere option.
- Annual wellness and community outreach days.
- Global collaboration opportunities within a mission-driven cybersecurity team.
- Commitment to pay transparency and equity.
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