Build core product and infrastructure, ship end-to-end features across the stack, develop data ingestion and multimodal representation systems, implement LLM-based agentic systems and other AI approaches, and act as a technical leader mentoring engineers while defining technical vision and culture.

Unsolicited/open application for a startup building an AI-driven scientific intelligence platform for physical sciences. Company seeks exceptional candidates across roles to accelerate R&D in semiconductors, batteries, materials, aerospace, and related fields; invites interested people to apply even without a specific posted role.

Translate AI research into production systems for scientific R&D: build evals/benchmarks, design data ingestion and representation for messy multimodal scientific data, implement LLM-based and other agentic systems, and provide technical leadership to define product and engineering direction.