SphereSan Francisco, CALeads 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.
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 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.
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.