Member of Engineering Multimodality - Research Lead - jobgether

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 Switzerland.

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.