Member of Technical Staff - Research Engineer, RL Environments

Preference Model is seeking experienced Machine Learning Engineers to design and build reinforcement learning environments for training advanced AI models. In this role, you will blend research and engineering to create novel RL environments, conduct experiments, and deliver them into production, directly impacting the data layer for frontier LLM capabilities.

• Design and build RL environments and reward functions for frontier models
• Develop deep expertise in ML research, training, and inference infrastructure
• Collaborate to brainstorm and create new environment building tools
• 5+ years of experience in ML/research, primarily on LLMs and transformer models
• Strong ML fundamentals and broad research interests
• Proficiency in Python, systems programming, and PyTorch or JAX