Head of Machine Learning Research & Intelligence

📋 Description Define and drive the research strategy for AI intelligence (reasoning, planning, memory, context). Lead model-architecture decisions, choosing proprietary vs OSS/commercial models. Design evaluation frameworks for quality, safety, reliability, long-term performance. Ensure alignment, safety, and guardrails for reliable, responsible AI. Explore retrieval-augmented training, mixture-of-experts, multimodal AI. Collaborate with cross-functional teams to scale research. 🎯 Requirements Extensive experience designing, building, and deploying production ML systems. Deep expertise evaluating model performance, failure modes, and long-term impact. Hands-on Python, PyTorch and/or JAX, with GPU training/inference. Balance research innovation with practical product delivery and performance. Experience with LLMs, retrieval systems, orchestration frameworks, or multimodal architectures. Ownership, autonomy, and entrepreneurial mindset focused on execution. 🎁 Benefits Fully remote; work from Mexico. Influence long-term AI research strategy. High-impact role with ownership and decision authority. Collaborative, small, experienced, fast-moving team. Exposure to cutting-edge AI tech and ML challenges. Transparent interview process with timely feedback.