Machine Learning Engineer LLM

- Take open-source LLMs and convert them into high-performance software engineer agents using supervised fine-tuning and large-scale reinforcement learning - Design and run extensive training experiments across multi-node GPU clusters - Build RL loops where models write code and receive feedback based on real test outcomes - Push long-context and MoE style architectures to their limits - Work hands-on across the full stack including custom PyTorch dataloaders, distributed training, and debugging NCCL issues - Design opinionated reward functions that reflect exceptional engineering practices - Extend benchmark suites and test models on real-world repositories - Analyze failure modes and provide insights to improve data and training strategies - Collaborate with infrastructure, product, and research teams to inform training decisions and result measurements