AI Research Intern

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.

Responsibilities

• 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), bias–variance trade-offs, generalisation.

• Nice to have: Experience with ONNX, TensorRT, TFLite or LiteRT, experiment tracking tools (W&B, MLflow), ablation studies.

What You Will Gain

• Hands-on research experience in applied computer vision and model optimisation.

• Mentorship from experienced researchers and engineers.

• Opportunity to contribute to publications or conference submissions.

This internship will be based either in Paris (France) OR in Lausanne (Switzerland).