

Chris Wyatt
Machine Learning | Computer Vision
Machine Learning Engineer
Dresden, Germany (on-site)
Please note this is a 48 hour / 6 day working week
IC Resources is seeking a Machine Learning Engineer with expertise in model quantization for hardware AI chips, to join our client's innovative team in Dresden, Germany. This role offers a unique opportunity to work at the intersection of machine learning and hardware design, shaping the future of AI hardware for edge devices. The successful candidate will play a crucial role in developing a scalable inference framework and collaborating on cutting-edge quantization techniques.
Primary Responsibilities
Excellent salaries DOE
48 hour / 6 day working week
How to Apply:
If you’re excited by the opportunity to advance your career as a Machine Learning Engineer focused on quantization, and contribute to ground-breaking technology, apply now for immediate consideration. Contact Chris Wyatt, Principal Recruitment Consultant, for more information and assistance with your application.
Apply now
Dresden, Germany (on-site)
Please note this is a 48 hour / 6 day working week
IC Resources is seeking a Machine Learning Engineer with expertise in model quantization for hardware AI chips, to join our client's innovative team in Dresden, Germany. This role offers a unique opportunity to work at the intersection of machine learning and hardware design, shaping the future of AI hardware for edge devices. The successful candidate will play a crucial role in developing a scalable inference framework and collaborating on cutting-edge quantization techniques.
Primary Responsibilities
- Design and maintain a highly optimised inference framework tailored to cutting-edge AI hardware.
- Refine and implement advanced quantization algorithms.
- Innovate on state-of-the-art quantization methods and adapting these techniques to meet unique hardware requirements.
- MSc with industry experience, or recently completed PhD in relevant field
- Experience in different ML model quantization techniques.
- Neural network compression.
- Hugging Face Transformers or DeepSpeed.
- PyTorch
- Relevant publications and patents
- Ability to develop efficient custom CUDA kernels.
Excellent salaries DOE
48 hour / 6 day working week
How to Apply:
If you’re excited by the opportunity to advance your career as a Machine Learning Engineer focused on quantization, and contribute to ground-breaking technology, apply now for immediate consideration. Contact Chris Wyatt, Principal Recruitment Consultant, for more information and assistance with your application.

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