About the Role As a data Scientist on the AI Detection Research team, you will play a critical role in identifying and mitigating mobile threats through advanced AI and Machine Learning techniques. This is part of the research organization that is responsible for protecting against cyberattacks and malicious activity, and creating innovative solutions for mobile app security. You'll work on cutting-edge problems that traditional detection methods cannot solve, developing neural networks and ML models to protect against emerging attack vectors in AI-driven mobile applications. What Youll Do - 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 our company-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.
Requirements: - Bachelors 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. Preferred Qualifications: - Background in mobile app research or development ( Android / IOSgreenTxtBg!). - 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. About the Company:our company's mission is to protect every mobile app worldwide and its users. We provide mobile brands with the only patented, centralized, data -driven Mobile Cyber Defense Automation platform. Our platform delivers rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events threat-aware UI / UX control, ThreatScope Mobile XDR, and Certified Secure DevSecOps Certification in one integrated system. With our company, mobile Developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, TEST, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from within mobile DevOps and CI/CD pipelines. Leading financial, healthcare, m-commerce, consumer, and B2B brands use our company to upgrade mobile DevSecOps and protect Android & IOS apps, mobile customers, and businesses globally. Today, our company's customers use our platform to secure over 50,000+ mobile apps, with protection for over 1 billion mobile end users projected.
we are an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to any of these characteristics.
This position is open to all candidates.