
Machine Learning Engineer (Audio)
Nuremburg, Bavaria
Permanent
€80-85k, hybrid working from Northern Germany
V-190661

Karla Pineda
Machine Learning and Computer Vision
Machine Learning Engineer (Audio)
IC Resources is looking for a Machine Learning Engineer to join an audio tech company with the vision to transform how listeners perceive sound. It is available on a hybrid basis and would suit somebody living in the areas of Bremen, Hannover or Hamburg. My client has a production ready product, develops nearly everything in-house including the software on the cusp of further funding and has multiple new partnership deals in the making. With ample opportunity for continued R&D, it’s an excellent time to join!
What you will be doing?
This is a great opportunity for a Bachelor´s or Master’s educated in Computer Science, Electrical Engineering, or a related field with experience in Audio and fluent German. Please apply now for immediate consideration, you will be speaking to Karla Pineda who is recruiting for this position in Bremen, Hannover or Hamburg, Germany.
Apply now
IC Resources is looking for a Machine Learning Engineer to join an audio tech company with the vision to transform how listeners perceive sound. It is available on a hybrid basis and would suit somebody living in the areas of Bremen, Hannover or Hamburg. My client has a production ready product, develops nearly everything in-house including the software on the cusp of further funding and has multiple new partnership deals in the making. With ample opportunity for continued R&D, it’s an excellent time to join!
What you will be doing?
- Working with audio features and algorithms
- Development of Machine Learning models for audio applications
- Development new Machine Learning features on top of our clients audio tech
- Bachelor´s or Master's degree in Computer Science, Electrical Engineering, or a related field
- Experience with implementing Machine Learning models on embedded systems for real-time processing
- Adapation of exsiting speech recognition and denoising solutions with a view to deploy on embedded platforms
- Modeling nonlinear processes
- Real-time processing of audio signals
- PyTorch, ONNX TensorFlow and AWS
- Fluent German
This is a great opportunity for a Bachelor´s or Master’s educated in Computer Science, Electrical Engineering, or a related field with experience in Audio and fluent German. Please apply now for immediate consideration, you will be speaking to Karla Pineda who is recruiting for this position in Bremen, Hannover or Hamburg, Germany.

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