Founding Machine Learning Engineer

As a founding ML Engineer, you own end-to-end ML systems—from data ingestion and training to evaluation and inference. You will design novel model architectures or adapt frontier models, and implement state-of-the-art fine-tuning methods (LoRA/QLoRA, SFT, DPO, distillation). You will architect scalable inference stacks (vLLM, TensorRT-LLM, DeepSpeed) and build data systems for high-quality synthetic and real-world data. You will develop alignment, safety, and guardrail strategies and design evaluation frameworks assessing performance, robustness, safety, and bias. You will own deployment, optimize GPU usage, manage latency and scaling policies, and explore frontier techniques such as retrieval-augmented training, mixture-of-experts, and multimodal models. Remote-first, autonomous, and highly impactful—your work will influence the product direction from day one.