Research Engineer, Post-Training Inference

📋 Description Design and build systems for customizing open-source models Integrate Model Shaping and Inference platforms for seamless post-training to serving Add features to inference engines for large-scale post-training experiments, incl. RL Ensure service stability with on-call coverage and 24/7 availability 🎯 Requirements 2+ years building and deploying ML-based services in production Hands-on with modern inference engines (SGLang, vLLM, TensorRT-LLM) Familiar with latest LLMS fine-tuning methods Strong software engineering in Python or Go Stay updated on ML advances 🎁 Benefits Startup equity Health insurance Other benefits