About the Role

The Research AI Director is a senior scientific leadership position responsible for shaping and executing Multiverse Computing's AI research strategy. Reporting directly to the Chief Scientific Officer, you will lead a high‑calibre, multidisciplinary AI research organisation, drive world‑class LLM and AI development from research through to production, and bridge the best of academia and industry within a fast‑moving deep‑tech environment.

This role demands a rare combination: deep hands‑on expertise in large language model development, a strong academic publication record, proven success managing and scaling AI engineering teams in both research and commercial settings, and the strategic vision to align cutting‑edge science with real‑world product impact. You will be a key voice in the company’s AI direction and a trusted partner to the CSO.

Key Responsibilities

Strategic AI Research Leadership

- Define and own the multi‑year AI research roadmap, spanning foundation models, model compression, alignment, and applied AI ensuring alignment with company strategy and product priorities.
- Partner closely with the CSO to translate scientific vision into concrete, deliverable research programmes with measurable milestones.
- Identify emerging trends in LLMs, multimodal AI, and efficient inference, and position Multiverse at the frontier of applied AI research.




- Represent Multiverse Computing at top‑tier international conferences (NeurIPS, ICML, ACL, ICLR) and scientific advisory forums.

Team Leadership & People Management

- Lead, mentor, and scale a diverse AI research organisation of researchers, ML engineers, software engineers, and applied scientists — maintaining a culture of scientific excellence, collaboration, and ownership.
- Set clear performance expectations, conduct rigorous reviews, and support the professional development and career growth of team members at all levels.
- Recruit and retain world‑class AI talent across both academic and industry profiles, working with HR and the CSO to build a compelling research environment.
- Coach team leads and senior researchers, fostering technical depth alongside engineering rigour.

LLM Development & Research Delivery

- Own the end‑to‑end LLM development lifecycle: pretraining, fine‑tuning, alignment (RLHF/DPO), evaluation, and production deployment — bridging research prototypes to scalable systems.
- Oversee the planning and execution of concurrent AI research projects, ensuring high scientific quality, reproducibility, and on‑time delivery.
- Establish robust KPIs, publication targets, and reporting frameworks to track research progress, model performance, IP generation, and product handoffs.
- Ensure seamless knowledge

📌 Research Ai Director (San Sebastián)
🏢 Multiverse Computing
📍 San Sebastián