Drive innovation in AI at Preference Model as a Reinforcement Learning Engineer focused on low-level tasks. This role requires strong skills in C/C++, Python, and systems engineering for impactful contributions in a collaborative environment. You will be instrumental
Shape the future of AI security as a Security Research Engineer at Preference Model. Develop reinforcement learning environments that empower LLMs to tackle real-world cybersecurity problems. In this pivotal role, youll design high-quality environments that emulate various security
About UsPreference Model is building automated ML research engineering. Existing frontier models are brittle when applied to real-world ML tasks. The present bottleneck is the lack of high-quality RL training environments. Our first step is to build RL
Advance automated machine learning with Preference Model as a Research Engineer focused on RL training. Your expertise will help build cutting-edge training environments. This role combines research and engineering, focusing on large language models and their self-directed learning capabilities.
About Us Preference Model is building automated ML research engineering. Existing frontier models are brittle when applied to real-world ML tasks. The present bottleneck is the lack of high-quality RL training environments. Our first step is to build RL
About Us Preference Model is building automated ML research engineering. Existing frontier models are brittle when applied to real-world ML tasks. The present bottleneck is the lack of high-quality RL training environments. Our first step is to build RL
Embrace a critical role at Preference Model, crafting software engineering environments for AI research. Focus on advancing ML capabilities by designing realistic and complex RL tasks. As a Member of Technical Staff, you will combine software engineering with
About Us Preference Model is building automated ML research engineering. Existing frontier models are brittle when applied to real‑world ML tasks. The present bottleneck is the lack of high‑quality RL training environments. Our first step is to build RL
Advance your cybersecurity career as a Senior Engineer at Preference Model, where you’ll design RL environments for critical security tasks. Apply your innovative thinking to improve AI models in real-world scenarios. This senior-level role involves creating environments that incorporate
About Us Preference Model is building automated ML research engineering. Existing frontier models are brittle when applied to real-world ML tasks. The present bottleneck is the lack of high-quality RL training environments. Our first step is to build RL
About Us Preference Model is building automated ML research engineering. Existing frontier models are brittle when applied to real-world ML tasks. The present bottleneck is the lack of high-quality RL training environments. Our first step is to build RL
Explore cutting-edge machine learning projects at Preference Model as a Kernel Development Engineer. Bring your low-level coding skills in C/C++, CUDA, and Python to develop complex reinforcement learning environments. In this role, you will design and engineer robust
Be a part of Preference Models innovative team as an Automated ML Research Engineer. Focus on developing RL training environments to enhance model performance. In this unique role, youll explore the capabilities of self-training models within complex RL environments. Your