Research AI Director

Multiverse Computing

• 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.

• 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 transfer between research and product/engineering teams, translating scientific breakthroughs into deployable technology.

Cross-functional & External Collaboration

• Collaborate with Product, Engineering, and Business Development to ensure AI research outputs are commercially relevant and technically integrable.

• Build and maintain relationships with leading academic institutions, national laboratories, and AI research consortia.

• Manage external collaborations including university partnerships, EU-funded research projects, and industrial consortia.

• Support pre-sales and strategic customer engagements by articulating AI research capabilities and roadmap to both technical and executive audiences.

• Contribute to grant applications, scientific publications, patents, and white papers that reinforce Multiverse’s intellectual leadership.

Qualifications & Experience