Head of Machine Learning Research & Intelligence

📋 Description

• Define and execute the research strategy for core AI intelligence.
• Lead model-architecture decisions; build proprietary or use external models.
• Design and maintain evaluation frameworks for quality, safety, and reliability.
• Establish AI alignment, safety, and guardrail strategies.
• Explore advanced ML approaches: retrieval-augmented training, mixture-of-experts, multimodal AI.
• Collaborate with cross-functional teams to turn research into scalable production.

🎯 Requirements

• Extensive experience designing, building, deploying production-grade ML systems.
• Deep expertise evaluating model performance, failure modes, and long-term architecture.
• Hands-on Python, PyTorch and/or JAX; GPU training and inference.
• Balance research innovation with practical product delivery and performance.
• Experience with advanced AI techniques: LLMs, retrieval systems, orchestration, multimodal.
• Strong analytical thinking and problem-solving with high-impact decisions.

🎁 Benefits

• Fully remote position with flexibility to work from Europe.
• Influence long-term AI research strategy for an innovative product.
• High-impact role with ownership and decision-making authority.
• Collaborative environment with a small, experienced, fast-moving team.
• Exposure to cutting-edge AI technologies and ML challenges.
• Transparent and efficient interview process with timely feedback.