WHAT YOU’LL DO
- Lead an applied research for AI-driven features in the Wiz platform
- Cover a range of features - from leveraging LLMs to enhance customer investigation experience to novel usage of AI for cloud security
- Collaborate with engineering teams to design, build, and maintain production pipelines
- Work closely with the Security Research and Product teams to define research goals
- Conduct experiments and evaluate the performance of AI models, algorithms, and techniques using real-world datasets and simulated environments
- Stay abreast of cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions' accuracy, efficiency, and scalability
WHAT YOU’LL BRING
- An M.S. or Ph.D. degree in computer science, statistics, or related field OR equivalent work experience
- 5+ years of experience in leading and managing data science and machine learning projects, preferably in the intersection of AI and cybersecurity
- Experience with distributed cloud systems - Hands-on familiarity with cloud systems that are distributed
- Strong knowledge of deep learning models and common model architecture such as transformer models, CNNs, RNNs
- Knowledge of programming languages that are used in AI research, such as Python, and experience with AI frameworks (e.g., Hugging Face, LangChain, OpenAI, scikit-learn, TensorFlow, PyTorch)
- Ability to work independently in a fast-paced, and come up with creative solutions to challenging problems
- Excellent communication (both written and verbal) and presentation skills
- Advantage : Knowledge of cybersecurity principles, attack vectors, and defense mechanisms
