Machine Learning Engineer - LLM, AI & Robotics

Fine-tune pre-trained LLMs for use cases in humanoid robots and autonomous driving (chat, API calling), build efficient LLMs (small models, weight sharing, quantization) deployable locally on robots and cars, and develop scalable (multi-modal) LLM training and deployment pipelines. Explore synthetic data generation to improve diversity/quality. Requires a PhD in CS or related field, solid ML/NLP/CV/speech background, LLM experience, and strong Python plus a major deep-learning framework. Preferred: LLM internals/quantization, SFT/RLHF/prompt engineering/RAG, publication or leadership record.