Member of Engineering (Multimodality - Research Lead)

Team: IT

Location: Ireland

Commitment: Full-time

Workplace Type: remote

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.