Jobs 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.

Build and operate backend platform capabilities including REST APIs, SDKs, agent runtimes, multi-tenant ingestion, and GPU job orchestration. Design resilient services for cloud, customer VPC, on-premises, and edge deployments. Own observability, reliability, SLOs, debugging, and on-call operations while translating AI research into production infrastructure. Senior engineers also drive architecture and engineering standards.

Build and deploy customer-facing production solutions across edge and cloud environments. Scope and execute proofs of concept, integrations, data pipelines, and real-time systems while meeting reliability and performance targets. Partner with Sales and Product, present architectures and results, benchmark software on edge hardware, and create repeatable deployment tooling and documentation. The role is based in Japan with significant onsite customer work and frequent travel across Asia-Pacific and to San Mateo.

Design, train, and interpret foundation models for multimodal sensor data. Develop representation learning, multimodal alignment, self-supervised learning, and model adaptation methods. Diagnose limitations and failure modes, design experiments, and collaborate with engineering and product teams to translate research into production systems.

Own full enterprise sales cycle for physical AI platform: drive net-new business and expansions, manage complex seven-figure deals, build executive relationships, inform GTM/product strategy, meet quarterly revenue targets, and maintain CRM/account plans.

The role involves building and improving multimodal foundation models that integrate various types of data for real-world applications, requiring strong research capabilities and deployment experience.