Lead, Multimodal AI Research (Remote)

Jobgether; France; Remote; EUR 120,000 - 170,000; Full time

Benefits offered by this job

Fully remote work environment

Flexible working hours

Health insurance allowance

16 weeks parental leave

Well-being and home office allowances

Company-provided equipment

Regular team gatherings

Job summary

Jobgether, on behalf of a partner company, is seeking a Member of Engineering (Multimodality - Research Lead) based in France. Lead development of multimodal capabilities for next-generation AI systems; build and shape a new research area, defining how advanced models understand and interact with visual information.

The role combines hands-on research, engineering excellence, and strategic ownership of a critical AI capability.

Qualifications

• Proven experience with end-to-end training of production-grade vision-language models (VLMs).
• Strong understanding of large language model fundamentals and scalability training.
• Advanced Python programming and ML systems implementation skills.
• Leadership or 0-to-1 building experience with broad ownership and hands-on contribution.

Responsibilities

• 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 on evaluations, architecture, data, and post-training.
• Develop custom datasets and evaluation strategies to measure multimodal software engineering capabilities.

Skills

VLMs experience

Transformers

Python programming

Research leadership

Experiment design

Collaboration

Job description

Jobgether, on behalf of a partner company, is seeking a Member of Engineering (Multimodality - Research Lead) based in France. Lead development of multimodal capabilities for next-generation AI systems; build and shape a new research area, defining how advanced models understand and interact with visual information.

The role combines hands-on research, engineering excellence, and strategic ownership of a critical AI capability.