Location: Nashville, TN
Targun is an applied-AI company on a mission to eliminate repetitive, high-stakes operational bottlenecks. From logistics coordination to ERP automation, we design intelligent systems that turn fragmented data into decisive action—empowering teams to move faster, cut waste, and build at the pace of ambition.
We believe the next decade belongs to organizations that pair deep industry knowledge with advanced AI research. At Targun, developers and domain experts collaborate to push large-language-model capabilities beyond generic chat and into rigorous, real-world workflows. Our vision is simple: every worker armed with an AI partner that makes shipping freight, running a factory, or launching a new product as frictionless as sending a text.
As a Research Engineer you’ll build and scale the infrastructure that powers our Reinforcement Learning from Code Execution Feedback (RLCEF) pipeline. Your work will enable Targun’s large-language models to learn by completing millions of real-world coding tasks—turning raw execution feedback into smarter, more reliable AI.
Build a robust, distributed platform that executes, analyzes, and stores feedback from large volumes of code runs—laying the technical foundation for Targun’s next-generation fine-tuning efforts.