Staff Cybersecurity RL Engineer - Real-World Environments

Preference Model in San Francisco is seeking experienced Security/Cybersecurity Engineers to design and build reinforcement learning environments. You will work on solving real-world cybersecurity challenges, ensuring frontier AI models can understand and handle them effectively. The role requires strong security fundamentals, hands-on experience with vulnerabilities, and proficiency in Python along with low-level programming languages. We offer competitive compensation and benefits, as well as opportunities for professional growth in a dynamic startup environment. #J-18808-Ljbffr Preference Model