ShepherdSan Francisco, CABuilds end-to-end ML systems for autonomous insurance underwriting, finetuning LLMs, closing feedback loops with underwriter data, and deploying production models. Requires 4+ years ML experience, Python proficiency, and production LLM expertise.
Build and scale the shared AI platform foundations at Notion, enabling fast and safe shipping of AI products. Requires experience with LLM/ML platforms, strong ownership, and comfort across backend, infrastructure, and product code.
Generalist Research Engineer working across Exa's search and retrieval stack including crawling, parsing, ML performance, and retrieval algorithms to improve search quality and performance for customers.
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.
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.