AI Research Intern

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About this role

AI Research Intern Lausanne, Canton de Vaud, Switzerland, Paris About Us Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. Responsabilities - Design and implementation of deep learning models for computer vision tasks. - Research and experimentation with CNNs and Vision Transformers. - Model compression techniques such as knowledge distillation. - Quantisation-aware training (QAT) and post-training quantisation (PTQ). - Network and dataset pruning strategies. - Design of efficient architectures for edge and embedded systems. - Dataset curation, balancing, and bias mitigation. - Experimental design, ablation studies, and reproducibility practices. - Robust evaluation using appropriate metrics (e.g., mAP, IoU, calibration). - Failure case analysis and robustness testing under distribution shifts. You will be encouraged to read, analyse, and implement ideas from leading conferences such as CVPR, ICCV, ICLR, and NeurIPS. Requirements - Technical Background: Solid foundation in Deep Learning (preferably PyTorch). - Experience with CNNs and/or Transformers (academic or project-based). - Understanding of bias-variance trade-offs and generalisation. - Familiarity with optimisation fundamentals and basic probability. - Experience or strong interest in model compression techniques. - Interest in hardware-aware

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