Data Scientist, AI Detection Research

• Design and build complete AI/ML project lifecycles - from data collection and model development to testing and production code deployment.
• Build secure AI models that run on hundreds of millions of mobile devices within Appdome-protected applications.
• Create advanced detection algorithms for sophisticated and complex threats that traditional security methods fail to identify.
• Optimize model performance across diverse mobile device environments to ensure reliable threat detection.
• Research AI-based applications, frameworks, and OS-level features to identify emerging attack vectors and detect attempts to exploit embedded AI models.
• Collaborate with cyber research teams to validate and refine recognition models based on real-world threats.

• Bachelor's degree in Data Science, Computer Science, Computer Engineering, or related field.
• 2+ years of experience in Data Science roles.
• Proven experience managing AI/ML project lifecycles from conception to deployment.
• Deep understanding of classic ML, deep learning, and LLMs.
• Strong proficiency in Python and experience with frameworks such as PyTorch, Scikit-Learn, and TensorFlow.
• Hands-on experience with low-level programming in C/C++.
• Team player with strong collaboration and communication skills.
• Quick learner with ability to adapt to new tools, methods, and frameworks.

• Background in mobile app research or development (Android/iOS).
• Image processing experience.
• Reverse engineering experience with tools like IDA, gdb, and lldb.
• Knowledge of OS internals.
• Cybersecurity background with understanding of threat landscapes and attack vectors.

Mploy