AI Research Scientist
Location: San Jose, CA
Department: AI Research
You Will:
- Conduct research in machine learning, LLMs, and generative AI.
- Develop novel algorithms and architectures.
- Prototype research ideas and validate them through experimentation.
- Collaborate with engineering teams to translate research into products.
You Have:
- PhD or equivalent experience in Computer Science, AI, or Machine Learning.
- Strong background in deep learning and modern AI architectures.
- Experience publishing research or developing advanced ML models.
- Experience with LLMs, multimodal models, or agentic systems.
About the Company
Kai is the AI company rebuilding cybersecurity for the machine-speed era. Founded by second time founders and trusted by Fortune 500 enterprises, Kai is building a future where security has no categories, no silos, and no human speed bottlenecks. The Kai Agentic Platform replaces fragmented, human-limited workflows with agentic AI systems that continuously contextualize, assess, reason, and execute security work at the speed of thought - making human defenders, superhuman.
Why Kai?
- $125M in Funding: We are well-funded and have the resources to innovate and scale rapidly.
- Proven Early Success with Fortune 500 Customers: We have started partnering with Fortune 500 companies, marking early success and growing trust in our innovative solutions. This highlights the immense potential and reliability of our AI-powered cybersecurity offerings.
- Experienced Leadership: Our founding team consists of second and third-time entrepreneurs, each with over 25 years of experience in the cybersecurity industry. Their proven expertise and vision drive our ambitious goals, positioning us to lead in AI-powered cybersecurity.
- World-Class Leadership Team: Our Heads of AI, Engineering, and Product bring extensive experience from some of the world’s most influential companies, ensuring top-tier mentorship, direction, and vision.
- Cutting-Edge AI Solutions: Our team leverages the most advanced AI technologies, including Large Language Models (LLMs) and Generative AI.
- Generous Compensation: We offer highly competitive salaries, equity options, and a supportive work environment. Your contributions will be valued and rewarded as we grow together.
- Cybersecurity Knowledge Preferred but Not Required: While experience in cybersecurity is a plus, we are primarily seeking top-tier talent in microservices architecture, software development, and/or DevOps who are passionate about solving complex problems.
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