Head of Machine Learning Research & Intelligence

📋 Description

• Define the research strategy for core AI intelligence (reasoning, memory).
• Lead model-architecture decisions: build vs. open models.
• Design robust evaluation for safety, reliability, and long-term performance.
• Establish AI alignment, safety, and guardrail strategies.
• Explore advanced ML approaches: retrieval-augmented training, multimodal AI.
• Collaborate with product and engineering to scale research into production.

🎯 Requirements

• Extensive experience designing and deploying production ML systems.
• Deep expertise evaluating models and understanding failures.
• Hands-on with Python, PyTorch and/or JAX; GPU training.
• Balance research with practical product delivery and real-world systems.
• Experience with LLMs, retrieval systems, and multimodal architectures.
• Strong analytical thinking and problem-solving.
• Ownership, autonomy, and entrepreneurial mindset.
• Excellent communication across research, engineering, and product.

🎁 Benefits

• Fully remote with flexibility to work from Europe.
• Influence long-term AI research strategy for the product.
• High-impact role with ownership and decision-making authority.
• Collaborative environment with a small, experienced team.
• Exposure to cutting-edge AI technologies and challenges.
• Transparent and efficient interview process with timely feedback.
• Full-time permanent opportunity with strong career growth potential.