Member of Technical Staff - Machine Learning Capabilities

Preference Model is seeking experienced Machine Learning Engineers to design and build reinforcement learning environments for advancing ML research and capabilities. This role involves a blend of research and engineering, requiring you to stay current with the latest advancements, develop novel approaches, and implement them in code. You will have full ownership of the environments you build, contributing directly to the data layer powering frontier LLMs.

• Design and build RL environments and reward functions
• Build deep expertise in ML research, training, and inference infrastructure
• Collaborate on new ideas and tools for environment building
• 5+ years of experience in ML or research, primarily on LLMs and transformer models
• Proficiency in Python, systems programming, and PyTorch or JAX
• Problem solvers who take ownership and drive solutions end-to-end