AI & Computer Vision Intern (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI & Computer Vision Intern (AI): Engineering an advanced Generative AI pipeline capable of transforming the context of existing datasets with an accent on shifting time-of-day, changing seasons, or altering entire biomes and weather systems. Focus on improving custom masking and high-res depth-patching algorithms to eliminate generative artifacts and improve object detectors.
Location: On-site in Lausanne
Company
is a next-generation defense prime building autonomous and scalable defense systems.
What you will do
- Refine the Generative Architecture: Take ownership of a sophisticated multi-pass diffusion pipeline to seamlessly adapt scene contexts while maximizing physical realism.
- Solve Edge Cases: Improve custom masking and high-res depth-patching algorithms to anchor small objects in 3D space, eliminating generative artifacts and "sticker" effects.
- Scale & Validate: Generate large-scale augmented datasets and rigorously quantify their impact on downstream model performance.
Requirements
- Education: Currently pursuing or recently completed a Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field with a focus on Machine Learning.
- Deep Learning: Strong understanding of CNN architectures, object detection frameworks, and modern loss functions, as well as the tracking world and its problematics.
- Software Engineering: Proficiency in Python (PyTorch/TensorFlow) and comfortable working in C++.
- Linux/Embedded: Experience working in a Linux environment; familiarity with Git is a plus.
- Problem Solving: A rigorous approach to debugging and an "engineering first" mindset, valuing performance over theoretical complexity.
- Language: Fluency in English; French is a plus.
Nice to have
- Experience with NVIDIA Jetson platforms and hardware-accelerated inference.
- FPV pilot experience or hobbyist interest in UAVs.
- Previous experience with synthetic data generation (e.g., NVIDIA Isaac Sim, Gazebo).
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