ProxSan Francisco, CAFounding Engineer builds knowledge engines, multimodal agents, voice AI, and codegen systems for complex physical product support. Owns end-to-end customer deployments in fast-paced startup environment.
Research Engineer building platforms to customize open-source LLMs via fine-tuning, RL, and evaluation. Focus on integrating post-training with inference engines (vLLM, SGLang, TensorRT-LLM), optimizing for RL workloads, and ensuring production reliability. Requires 2+ years ML production experience and strong Python/Go skills.
Member of Technical Staff building production speech and language models for voice AI agents in financial services. Own core modeling, evals, and deployment on a small team with high autonomy and real revenue impact.
Builds evaluation pipelines, LLM judges, and observability tools to measure and improve AI assistant quality. Requires 2+ years software engineering with Go/Python, LLM eval experience, and analytical rigor for backend ML infrastructure.
Build evaluation pipelines, LLM judges, and observability tools to measure and improve AI assistant quality. Requires 2+ years software engineering with strong Python/Go skills and LLM eval experience.
Designs datasets, evaluation rubrics, and reward signals for RLHF/RLVR pipelines to expose model failure modes and improve frontier AI capabilities. Partners with AI labs; requires 1-4 YOE and passion for data-driven model behavior.