Audio Machine Learning Engineer
Due to expansion, we are looking for a full‑time position Audio Machine Learning Engineer to join our development team. The candidate will work directly with our Product and Software development Team and will be responsible for :
- Conduct advanced research in the field of neural networks for the analysis, generation, and processing of audio content
- Develop and implement machine learning algorithms and models to enhance the understanding and manipulation of sound signals
- Collaborate with other team members to integrate developed solutions into application systems and prototypes
- Evaluate and optimize the performance of AI models, with particular attention to sound quality and real‑time performance
- Maintain a constant update on the latest research and developments in the field of AI applied to audio
- Porting existing python algorithms to C++ code
Hard skills
- Proficiency in advanced research methodologies in neural networks and machine learning
- Strong understanding of audio signal processing techniques and algorithms
- Experience with programming languages such as Python, C++
- Ability to develop and implement machine learning models for audio analysis and generation
- Familiarity with deep learning frameworks such as TensorFlow or PyTorch
- Excellent problem‑solving and analytical skills
- Effective communication and collaboration abilities
- Attention to detail and ability to optimize AI models for sound quality and real‑time performance
Plus
- Knowledge of PyBind11, creation of bindings from Python to C++ and viceversa, MATLAB
Requirements
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field
- Proven experience in conducting research in neural networks and machine learning, preferably in the audio domain
- Demonstrated ability to develop and deploy machine learning algorithms in production environments
- Strong portfolio showcasing past projects related to audio signal processing and machine learning
- Knowledge of software development methodologies and version control systems
- Ability to stay updated with the latest advancements in AI and audio signal processing research
- Experience collaborating with cross‑functional teams to integrate AI solutions into applications and prototypes
- Willingness to learn and adapt to new technologies and methodologies in a fast‑paced environment
The position is located in
Modena, Italy.
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