Head of Machine Learning Research & Intelligence

📋 Description

• Head ML Research & Intelligence, owning the system's research direction.
• Shape context, memory, reasoning, planning and orchestration.
• Decide when to design new architectures vs frontier models.
• Define evaluation frameworks for usefulness, robustness, safety.
• Guide frontier techniques (RAG, MoE, distillation, multimodal).

🎯 Requirements

• Deep experience building/evolving ML systems in production.
• Strong technical judgment on model behavior and failure modes.
• Builder’s mindset focused on real-world, production-ready systems.
• Comfort making high-impact decisions with incomplete information.
• Obsessive focus on evaluation, correctness, and long-term behavior.
• High ownership mentality — act as a founder, not a manager.