Member of Engineering (Multimodality - Research Lead)

Role Overview

This position is offered by a partner organisation based in Ireland seeking a Member of Engineering specializing in multimodality research leadership. The role focuses on pioneering multimodal capabilities that enhance next-generation artificial intelligence systems.

The successful candidate will create and expand a novel research domain centered on advanced visual comprehension and interaction within AI. This opportunity blends hands-on research, high-quality engineering practices, and strategic leadership in a pivotal AI competency area.

Responsibilities

• Lead and manage the strategic direction and delivery of multimodal research projects.
• Drive adoption and integration of multimodal functionalities into forefront AI models.
• Develop and deploy initial image input capabilities for sophisticated coding and autonomous agent systems.
• Chart the progression from adapter-based methods towards fully integrated multimodal model architectures.
• Design and conduct comprehensive experiments across all research stages including hypothesis setting, implementation, large-scale training, and results analysis.
• Collaborate closely with cross-functional teams working on evaluation, architecture, data management, and post-training processes.
• Create specialized datasets and evaluation methodologies to assess multimodal capabilities in software engineering contexts.
• Contribute to establishing a new research division that balances innovative approaches with effective project delivery.

Requirements

• Strong proficiency in machine learning demonstrated by experience with end-to-end training of production-level vision-language models.
• Deep knowledge of large language model frameworks such as transformers and handling distributed training at scale.
• Advanced expertise in Python programming and practical implementation of machine learning solutions.
• Self-driven ability to navigate ambiguous, rapidly evolving environments and devise actionable solutions.
• Expertise in experimental research design and data analysis.
• Experience working within multidisciplinary teams to execute complex AI initiatives collaboratively.
• Leadership or foundational project-building track record with comprehensive ownership and technical involvement.
• Prior experience or strong interest in vision-language models, multimodal model challenges, or agentic computer system technologies is highly advantageous.

Benefits

• 100% remote working setup with flexible scheduling options.
• Annual entitlement of 37 days for vacation and holidays.
• Health insurance benefits covering employees and their dependents.
• Fully paid parental leave lasting 16 weeks, adaptable to personal needs.
• Allowances supporting well-being, professional development, and home office expenses.
• Provision of necessary company equipment.
• Regular in-person team meetings promoting collaboration and connection.
• An inclusive culture that prioritizes people, cooperation, and innovation.

Additional Information

The hiring process involves AI-powered candidate matching for quick and fair application review. Selected candidates are shortlisted and passed to the partner company’s internal recruitment team, which manages further evaluations and interviews.

Applicants should be aware that personal data will be processed respectfully under GDPR for recruitment purposes, including the use of AI assistance to support application assessments, although final hiring decisions are made by humans.