Agentic AI Scientist: Post-Training & Graph Reasoning

Vecna AI in Chicago is looking for a professional to manage the full model lifecycle, from post-training to evaluation and production serving. You will own the post-training pipeline, develop evaluation infrastructure, and optimize inference for agentic workloads. The ideal candidate has a PhD in ML and experience with high-scale model serving, as well as a deep understanding of reinforcement learning, post-training, and graph algorithms. This is a unique opportunity to impact ML research in production settings. #J-18808-Ljbffr