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Come join the company that is reinventing cloud security and empowering businesses to thrive in the cloud. As the fastest-growing startup ever, Wiz is on a mission to help organizations secure cloud environments that will accelerate their businesses. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. We're looking for a AI Research Scientist to join us in spreading the power of Wiz and push the boundaries of AI in cybersecurity. You'll be at the forefront of developing novel AI models - focusing transformers and LLMs - that advance how cybersecurity operates. Contribute to the wider AI and cyber communities through publications and conference presentations, establishing Wiz as a thought leader at the intersection of AI and cybersecurity.
Job Responsibility:
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
Conduct experiments and evaluate the performance of AI models, algorithms, and techniques using real-world datasets and simulated environments
Stay informed about cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions’ accuracy, efficiency, and scalability
Collaborate with engineering teams to design, build, and maintain production pipelines
Work closely with the Security Research and Product teams to define research goals
Publish research findings and AI thought leadership content and present at leading conferences such as NeurIPS, ICML, or CVPR
Requirements:
An M.Sc. degree in computer science, statistics, or a related field is a must
a Ph.D. degree is an advantage
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, preferably at the intersection of AI and cybersecurity
Experience and hands-on familiarity with distributed cloud systems
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—and 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
Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship
Nice to have:
Knowledge of cybersecurity principles, attack vectors, and defense mechanisms
Experience speaking at data science and AI conferences like NeurIPS, ICML, or CVPR