Develop and advance ML models to select healthcare claims for auditing, improving precision and recovering millions in overpayments for large health plans. Requires experience with SQL, Python/R, and building modern ML models from scratch.
As a Software Engineer on the Inference Stack team, you will build the distributed runtime that powers large-scale LLM inference. This role involves working across the stack, from developer experience to low-level infrastructure, and owning systems in production.
Deploy and optimize FLUX diffusion models for enterprise customers, architecting custom integrations and fine-tuning solutions across production environments. Requires hands-on generative AI deployment experience and strong Python skills.
Builds core infrastructure for production AI agents including runtime, evaluation systems, retrieval, tool orchestration, observability, and reliability features for high-stakes real estate workflows. Requires strong systems engineering with Python, backend, and LLM experience.
Develops performance optimizations for ML models across graph, kernel, and system levels using PyTorch and Thunder compiler. Builds tools, collaborates with partners, and contributes to open-source while requiring strong PyTorch expertise and optimization experience.