Jobs

Hark is seeking a Member of Technical Staff, Post-Training to lead the development of post-training strategies for AI models, focusing on coding, computer use, and agentic capabilities. This role involves designing and implementing RL-based strategies, building simulation environments, and developing reward modeling pipelines for advanced AI agents. The ideal candidate will have a strong background in machine learning and reinforcement learning, with experience in training large models and working with simulation environments. This is a frontier role for researchers and engineers who can apply rigor and creativity from adjacent fields to the next generation of coding and agentic AI.