Member of Engineering (Multimodality - Research Lead)
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Member of Engineering (Multimodality - Research Lead) based in Ireland.
This role offers the opportunity to lead the development of multimodal capabilities for next-generation AI systems.
You will build and shape a new research area, defining how advanced models understand and interact with visual information.
The position combines hands-on research, engineering excellence, and strategic ownership of a critical AI capability.
You will work with cutting-edge infrastructure, large-scale model training environments, and a highly collaborative research team.
Your work will directly influence the evolution of intelligent systems designed to transform software development and complex problem-solving.
This is a unique opportunity to make a significant impact in a fast-moving, ambitious AI research environment.
Accountabilities:
The successful candidate will own the direction and execution of multimodality research initiatives, bringing advanced visual understanding capabilities into frontier AI models. This role requires both strategic thinking and hands-on technical contribution, from defining research priorities to implementing and scaling experiments.
- Own the multimodality roadmap and drive adoption of multimodal capabilities across AI models.
- Build and launch initial image-input capabilities for advanced coding and agentic systems.
- Define the evolution path from adapter-based approaches toward native multimodal architectures.
- Design and execute experiments across the full research lifecycle, including hypothesis formation, implementation, large-scale training, and analysis.
- Collaborate with research and engineering teams focused on evaluations, architecture, data, and post-training.
- Develop custom datasets and evaluation strategies to measure multimodal software engineering capabilities.
- Contribute to building a new research function from the ground up, balancing innovation with practical delivery.
Requirements:
The ideal candidate combines strong machine learning expertise with a research-driven mindset and the ability to independently solve complex technical challenges. You should have experience building large-scale AI systems and a passion for advancing multimodal intelligence.
- Proven experience with end-to-end training of production-grade vision-language models (VLMs).
- Strong understanding of large language model fundamentals, including transformers and distributed training at scale.
- Advanced Python programming skills and experience implementing machine learning systems.
- Ability to take ownership in ambiguous, fast-paced environments and identify practical solutions.
- Strong research capabilities with experience designing, running, and analyzing experiments.
- Experience collaborating across multidisciplinary teams to deliver complex AI projects.
- Leadership experience or 0-to-1 building experience, with a track record of broad ownership and hands-on technical contributions.
- Background in VLMs, multimodal models, native multimodality challenges, or agentic computer-use systems is highly valued.
Benefits:
- Fully remote work environment with flexible working hours.
- 37 days per year of vacation and holidays.
- Health insurance allowance covering employees and dependents.
- 16 weeks of flexible, fully paid parental leave.
- Well-being, continuous learning, and home office allowances.
- Company-provided equipment.
- Regular team gatherings and opportunities for in-person collaboration.
- Inclusive, people-first culture focused on collaboration and innovation.
