Were looking for a Data scientist Expert to join us
WHAT YOULL DO
WHAT YOULL DO
Lead an applied research for AI-driven features in the 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
Requirements:
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
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
This position is open to all candidates.
