Scale AISan Francisco, CALeads development and optimization of distributed frameworks for LLM post-training, training, and inference. Collaborates with ML teams to enable advanced model development and data curation, requiring expertise in large-scale ML systems and tools like PyTorch and CUDA.
Research Engineer conducting open-ended ML research, reproducing SOTA papers, building/scaling distributed training infrastructure on GPU clusters, and bridging research ideas into production code. Requires strong programming, ML frameworks, distributed systems experience, and math foundations; Master's/PhD preferred.
Build and iterate on AI agents for customer interactions, outperforming humans in complex scenarios. Requires 5+ years experience with Python/TypeScript, systems debugging, and model evaluation/integration.
Build and deploy scalable AI agents for customer support that handle complex interactions across industries like finance and healthcare. Requires 5+ years experience with Python and TypeScript, focusing on system reliability and model integration.
Leads development of proprietary AI reasoning model TRAM for interpreting global trade law, building data pipelines, fine-tuning LLMs, and evaluation frameworks for high-speed, accurate compliance determinations. Requires AI product experience, especially RAG systems and model fine-tuning.
Build and operate production ML systems and platform components for healthcare technology, partnering with ML and data science teams on model deployment, observability, and reliability.