Senior ML Engineer, AI Security

Description du poste

Join Check Point, a top Cyber Security company recognized globally. Experience a vibrant work culture with great benefits! Tasks Enhance detectors to support multiple languages efficiently. Boost defense performance by 100x across various data types. Conduct red team exercises to identify detector vulnerabilities. Skills 4+ years in deploying machine learning models in production. Expertise in unstructured data, NLP, and vision. Experience in end-to-end ML model development. About the job Company Description As the world’s leading vendor of Cyber Security, facing the most sophisticated threats and attacks, we’ve assembled a global team of the most driven, creative, and innovative people. At Check Point, our employees are redefining the security landscape by meeting our customers’ real-time needs and providing our cutting-edge technologies and services to an ever-growing customer base. Check Point Software Technologies has been honored by Time Magazine as one of the World’s Best Companies for 2024 and Newsweek’s 2025 list of Americas Best Cybersecurity Companies. We've also earned a spot on the Forbes list of the World’s Best Places to Work for five consecutive years (2020-2024) and recognized as one of the World’s Top Female-Friendly Companies. If you're passionate about making the world a safer place and want to be part of an award-winning company culture, we invite you to join us. Job Description Example projects Extend the scope of one of our detectors to support multiple languages without dropping performance on already supported languages. Increase the scope where our defenses perform by 100x (e.g., multi-lingual data, code, etc). Extend modeling and data generation to enable passing additional context to our prompt injection detectors, such as the LLM output and behavioral metadata. Red team our model to understand the most pressing vulnerabilities of our detectors and prioritize the data collection and generation required to fix them. Qualifications What you’ll bring You have at least 4 years of experience shipping machine learning models to production, ideally in environments where reliability and quality are key (e.g., autonomous driving, industrial applications, healthcare). Most of your experience productionizing ML models has been in unstructured data spaces such as NLP and vision. You have had experience working on end-to-end development of ML models. You have experience working on the “long tail” of data distribution, bringing models from prototypes to real-world systems. You aspire to play a pivotal role in defining the future of secure AI within a mission-driven company with ambitious goals. Additional Information