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AI & Computer Vision Intern - Data Augmentation

Harmattan AILausanne
On-site Intern

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Experience Level

Entry Level

Qualifications

QualificationsEducation: Currently pursuing or have recently completed a Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field with a concentration in Machine Learning. Deep Learning Expertise: Comprehensive understanding of CNN architectures, object detection frameworks, and contemporary loss functions, along with familiarity in the tracking domain. Software Development Skills: Proficient in Python (with frameworks such as PyTorch/TensorFlow) and comfortable programming in C++. Linux Environment: Practical experience in Linux systems and embedded environments is preferred.

About the job

Join Our Team

At Harmattan AI, we are at the forefront of developing autonomous and scalable defense systems, dedicated to enhancing the capabilities of allied forces. Following our successful $200M Series B funding round, which has elevated our company’s valuation to $1.4 billion, we are looking to expand our talent pool and technological expertise.

Our mission is driven by our commitment to creating technologies that make a significant real-world impact while maintaining excellence in our endeavors. We set ambitious goals and tackle the most challenging technical problems as we operate within a high-stakes environment that demands rigor, ownership, and precise execution.

Role Overview

As an AI & Computer Vision Intern focusing on data augmentation, you will play a key role in enhancing the training of our perception systems through the generation of diverse aerial imagery. Your work will involve engineering an advanced Generative AI pipeline capable of transforming existing datasets by altering time-of-day, seasonal changes, and various biomes while ensuring the integrity of critical target objects like drones.

  • Refine Generative Architecture: Take charge of a complex multi-pass diffusion pipeline that integrates structural background replacement with atmospheric adjustments to enhance scene realism.

  • Tackle Edge Cases: Innovate on custom masking and high-resolution depth-patching algorithms to effectively anchor small objects in 3D environments, minimizing generative artifacts.

  • Scale & Validate: Produce extensive augmented datasets and rigorously evaluate their effects on model performance. You will design experiments to assess how variations in the synthetic data influence the accuracy and robustness of object detection frameworks like YOLO.

About Harmattan AI

Harmattan AI is pioneering the development of cutting-edge autonomous defense technologies, with a strong focus on scalability and real-world impact. Backed by significant investment, we are committed to delivering innovative solutions that empower allied forces.

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