Cylake is the complete, AI-native cybersecurity platform that provides full visibility, sets fine-grained policy, and stops attacks in fully air-gapped sovereign environments. Backed by Greylock and Lightspeed.
About the role
Join a small team building the next generation of cybersecurity products from the ground up. Led by industry veterans with a proven track record of success - you will get to architect, build, and deliver hugely impactful products with this world-class team. You will have the opportunity to grow your career and skills along with the company from the very start.
What they're looking for
- 5+ years of experience applying machine learning, deep learning, or generative AI to cybersecurity or related domains, and/or a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field
- Proven track record of applying machine learning, deep learning, or generative AI techniques and delivering high-quality models and solutions into production environments end-to-end
- Deep understanding of modern AI agent architectures, agent frameworks, and implementation patterns
- Experience with LLM supervised fine-tuning (SFT), reinforcement learning, preference optimization, and model distillation
- Strong understanding of supervised and unsupervised learning, reinforcement learning algorithms, model training, and evaluation on large-scale datasets
- Experience with domain-specific feature engineering, data labeling, and data quality optimization
More about this role
Join a small team building the next generation of cybersecurity products from the ground up. Led by industry veterans with a proven track record of success - you will get to architect, build, and deliver hugely impactful products with this world-class team. You will have the opportunity to grow your career and skills along with the company from the very start.
You will build state-of-the-art AI capabilities for Cylake's next-generation cybersecurity platform. Working at the intersection of artificial intelligence and cybersecurity, you will develop agentic AI systems, build machine learning solutions, and train deep learning and LLM models that enable security teams to detect, investigate, and respond to threats at scale.
You will collaborate closely with security researchers and software engineers to develop, productize, and deploy AI-driven security solutions across SOC, SOAR, and SIEM workflows.
Develop state-of-the-art agentic AI systems for next-generation SOC, SOAR, and SIEM platforms.
Build and optimize large language models (LLMs) for cybersecurity and security operations use cases through post-training techniques.
Develop domain-specific evaluation frameworks and...
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