AI Research Intern (Computer Vision)

TL;DR

AI Research Intern (Computer Vision): Designing and implementing deep learning models for computer vision tasks with an accent on CNNs and Vision Transformers. Focus on model compression techniques, efficient architectures for edge and embedded systems, and robust evaluation under distribution shifts.

Location: On-site in Paris (France) OR Lausanne (Switzerland).

Company

hirify.global is a next-generation defense prime building autonomous and scalable defense systems.

What you will do

• Design and implement deep learning models for computer vision tasks.
• Research and experiment with CNNs and Vision Transformers.
• Apply model compression techniques such as knowledge distillation.
• Work with quantisation-aware training (QAT) and post-training quantisation (PTQ).
• Design efficient architectures for edge and embedded systems.
• Perform dataset curation, balancing, and bias mitigation.

Requirements

• 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 and efficient model design.

Nice to have

• Experience with ONNX, TensorRT, TFLite or LiteRT.
• Familiarity with experiment tracking tools (e.g., W&B, MLflow).
• Experience conducting ablation studies.
• Exposure to dataset curation or annotation processes.
• Prior participation in research projects or conference work.

Culture & Benefits

• Hands-on research experience in applied computer vision.
• Exposure to model optimisation and edge deployment challenges.
• Experience reading, implementing, and evaluating cutting-edge research.
• Mentorship from experienced researchers and engineers.
• Opportunity to contribute to publications or conference submissions.