AI Research Scientist

Wiz Wiz · Enterprise · Tel Aviv, Israel · Threat & AI Research

Seeking an AI Research Scientist to develop novel AI models, focusing on transformers and LLMs, for cybersecurity applications. The role involves conducting experiments, staying updated on AI methodologies, collaborating with engineering and product teams, and publishing research findings.

What you'd actually do

  1. Develop and research novel AI models, focusing on transformers and deep learning. Lead mid- to long-term projects aimed at advancing AI-driven features in the cybersecurity domain for Wiz products.
  2. Conduct experiments and evaluate the performance of AI models, algorithms, and techniques using real-world datasets and simulated environments.
  3. Stay informed about cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions’ accuracy, efficiency, and scalability.
  4. Collaborate with engineering teams to design, build, and maintain production pipelines. Work closely with the Security Research and Product teams to define research goals.
  5. Publish research findings and AI thought leadership content and present at leading conferences such as NeurIPS, ICML, or CVPR.

Skills

Required

  • M.Sc. degree in computer science, statistics, or a related field
  • at least 3 peer-reviewed publications in reputable academic journals or conferences
  • 5+ years of experience in leading and managing data science and machine learning projects
  • Strong knowledge of deep learning models and common model architectures such as transformer models, LLMs, CNNs, RNNs
  • Knowledge of programming languages that are used in AI research—like Python
  • experience with AI frameworks (e.g., Hugging Face, LangChain, OpenAI, scikit-learn, TensorFlow, PyTorch)
  • Proven ability to work independently in a fast-paced environment and come up with creative solutions to challenging problems
  • Excellent communication (both written and verbal) and presentation skills

Nice to have

  • Ph.D. degree
  • Experience and hands-on familiarity with distributed cloud systems
  • Knowledge of cybersecurity principles, attack vectors, and defense mechanisms
  • Experience speaking at data science and AI conferences like NeurIPS, ICML, or CVPR

What the JD emphasized

  • M.Sc. degree in computer science, statistics, or a related field is a must
  • at least 3 peer-reviewed publications
  • 5+ years of experience
  • Proven ability to work independently

Other signals

  • novel AI models
  • transformers and LLMs
  • AI in cybersecurity
  • publications and conference presentations