Teams at Archetype AI

Design, train, and interpret foundation models for multimodal real-world sensor data. Develop representation learning, multimodal alignment, self-supervised learning, and model adaptation methods. Diagnose limitations, conduct experiments, collaborate with engineering and product teams to productionize research, and publish findings at leading machine learning and sensing conferences.

Leads demand generation strategy and marketing-sourced pipeline for an early-stage AI company. Owns ICP development, account-based marketing, self-serve and agent-first funnels, multi-channel campaigns, events, partner programs, and pipeline targets. Builds an AI-native demand stack, collaborates with Sales, RevOps, Product Marketing, and Communications, and hires and manages growth marketing talent.

Own the production serving path for multimodal AI models, including Rust inference runtime nodes, GPU kernels, routing, batching, streaming, quantization, observability, and low-latency optimization. Productionize research checkpoints and improve GPU utilization, numerical precision, latency, and cost while collaborating closely with researchers.