Foundational ML Engineer - Multimodal SSL & Edge AI

Harmattan AI; Paris; Sur place; EUR 80 000 - 120 000; Plein temps

Résumé du poste

A leading defense technology company in Paris seeks a Machine Learning Engineer to design and scale innovative foundational models for tactical robots. This role emphasizes building architectures for multi-modal self-supervised learning from extensive Electro-Optical and Infrared data. Candidates should possess a PhD or advanced degree in relevant fields, along with 5-6 years of experience in deep learning vision models. Commitment to the company's ethical mission is crucial.

Qualifications

• 5-6 years of experience for senior levels in deep learning vision models.
• Experience with novel SSL or multi-modal architectures applied to real-world imaging data.
• Ability to architect data pipelines and manage technical trade-offs.

Responsabilités

• Design neural network architectures and loss functions for SSL.
• Manage and optimise training pipelines across multi-node GPU clusters.
• Develop metrics to evaluate representation latent space.
• Audit EO/IR data lakes and implement cross-attention mechanisms.
• Collaborate with Data Engineers and Edge AI teams.

Connaissances

PyTorch engineering skills

Multi-GPU training experience

System-level languages (C++, Rust, Go)

Technical leadership

Data strategy development

Formation

PhD or MS in Computer Science, Machine Learning, Computer Vision, or Applied Mathematics

Description du poste

A leading defense technology company in Paris seeks a Machine Learning Engineer to design and scale innovative foundational models for tactical robots. This role emphasizes building architectures for multi-modal self-supervised learning from extensive Electro-Optical and Infrared data. Candidates should possess a PhD or advanced degree in relevant fields, along with 5-6 years of experience in deep learning vision models. Commitment to the company's ethical mission is crucial.