Foundational ML Engineer for Multi-Modal Edge AI

Harmattan AI; Paris; Sur place; EUR 70 000 - 90 000; Plein temps

Résumé du poste

A defense technology company is seeking a Machine Learning Engineer in Paris to design and scale multi-modal foundational models that learn robust battlefield representations. Candidates should have a PhD and 5-6 years of experience in deep learning and PyTorch. The role involves managing training infrastructures and collaborating cross-functionally to ensure high-performance model handoffs. Excellent problem-solving and leadership skills are essential, along with a commitment to the ethical development of defense technologies.

Qualifications

• Minimum of 5-6 years of experience for senior levels.
• Experience training and scaling deep learning vision models from scratch.
• Successful application of novel SSL or multi-modal architectures.

Responsabilités

• Design neural network architectures and loss functions for multi-modal SSL.
• Manage training pipelines across multi-node GPU clusters.
• Develop metrics to evaluate latent space for semantic features.

Connaissances

PyTorch engineering

Deep learning vision models

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

Data quality management

Formation

PhD or highly research-focused MS in Computer Science, Machine Learning, Computer Vision, or Applied Mathematics

Outils

Multi-GPU/multi-node environments

Description du poste

A defense technology company is seeking a Machine Learning Engineer in Paris to design and scale multi-modal foundational models that learn robust battlefield representations. Candidates should have a PhD and 5-6 years of experience in deep learning and PyTorch. The role involves managing training infrastructures and collaborating cross-functionally to ensure high-performance model handoffs. Excellent problem-solving and leadership skills are essential, along with a commitment to the ethical development of defense technologies.