Foundational AI Research Engineer - Multimodal & LLMs

Helsing; Paris; Sur place; EUR 60 000 - 90 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Relocation support up to €2,500

Learning allowance of €500

Gym membership

Mental health support

Monthly social allowances

Enhanced parental leave

Résumé du poste

Helsing is looking for an individual to develop foundational intelligence for AI models in Paris, France. The role involves training and fine-tuning Vision-Language Models using Python and deep learning frameworks like PyTorch and JAX. Applicants should hold an MSc or PhD in Machine Learning or related fields and have strong communication skills. Benefits include competitive salary, relocation support, and enhanced parental leave. Join us in making a significant impact in the defence technology sector.

Qualifications

• Hold an MSc or PhD with a focus on Deep Learning.
• Experience in training Foundational Models.
• Strong software engineering skills and familiarity with deep learning frameworks.
• Clear communication abilities to contribute to research culture.

Responsabilités

• Research, design, and train Foundational Models.
• Focus on training and fine-tuning Vision-Language Models.
• Manage entire model lifecycle from data curation to evaluation.

Connaissances

Python programming

Deep Learning frameworks (PyTorch/JAX)

Research in AI/ML

Communication skills

Formation

MSc or PhD in Machine Learning, Computer Science, or Mathematics

Outils

GPU clusters

Description du poste

Helsing is looking for an individual to develop foundational intelligence for AI models in Paris, France. The role involves training and fine-tuning Vision-Language Models using Python and deep learning frameworks like PyTorch and JAX. Applicants should hold an MSc or PhD in Machine Learning or related fields and have strong communication skills. Benefits include competitive salary, relocation support, and enhanced parental leave. Join us in making a significant impact in the defence technology sector.