Model Jobs in Warstein

As a global semiconductor leader in power systems and IoT, we enable game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. That's why you probably use our products every day : smartphone, charger, electric toothbrush, coffee machine, refrigerator, remote control and much more. We are looking forward to your application!

• Take responsibility : You will develop a foundation model that can be easily customized and fine-tuned for various vision tasks using Infineon's dataset
• Data is everything : You work on a model which should be capable of accommodating images of different sizes and spatial resolutions, effectively utilizing the spectral information, and outperforming existing models for downstream tasks
• Expand your horizons : You will deal with Infineon's unique dataset, which differs significantly from standard image datasets
• Identify needs : You optimize the model to effectively utilize spectral information, potentially drawing inspiration from models like DINOv2, Mask Auto Encoder (MAE), IJEPA
• Experience research : You investigate multi-stage pretraining techniques to improve model performance
• Reliable work : You validate the model's performance through ablation studies and comparison with existing foundation models
• Study field : You are currently studying Data Science, Electrical Engineering, Informatics or a related subject
• Experience : You are familiar with foundation models, such as Segment Anything and Masked Auto Encoder (MAE). IJEPA, DIN
• Personality : You have excellent communication and presentation skills as well as strong problem-solving and analytical skills
• Skills : You are proficient in programming languages, such as Python, deep learning frameworks, such as TensorFlow or PyTorch and in Bash scripting, Linux terminal knowledge to streamline data processing; model training would be advantageous
• Language skills :  You have good English skills, both written and spoken

Please attach the following documents to your application :

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