HilbertSan Francisco, CABuilds production-grade AI systems including agent architectures, evaluation pipelines, and workflows for enterprise demand intelligence platform. Owns end-to-end from prototype to deployment, focusing on accuracy, latency, and cost tradeoffs in ambiguous startup environment.
Build and ship production AI agents on Cloudflare's edge platform using Workers, Durable Objects, and AI tools. Requires strong TypeScript/Rust experience, observability expertise, and hands-on LLM tooling for evals, safety, and multi-agent systems.
Characterize, analyze, and optimize performance of state-of-the-art AI models on Cerebras' wafer-scale hardware. Build performance models, optimize kernels and compilers, debug runtime behavior, and develop visualization tools to influence next-gen AI architecture.
Research Engineer on OpenAI's Privacy team designing and prototyping privacy-preserving ML algorithms like differential privacy and federated learning at scale. Requires hands-on PETs experience, fluency in PyTorch/JAX, and a track record implementing or publishing novel privacy work.
Research Engineer building self-improving AI agent systems at Console. Develop eval/optimization loops, fine-tune specialist models, and improve agent reasoning over enterprise context using production data to drive measurable gains in quality, latency, and reliability.
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.