Audio Machine Learning Engineer...

IK Multimedia; Modena; In loco; EUR 40.000 - 60.000; Tempo pieno

Descrizione del lavoro

A global technology company in Modena, Italy, is seeking an experienced Audio Machine Learning Engineer to enhance audio content analysis and processing using advanced machine learning techniques. The ideal candidate will have a strong background in neural networks, proficiency in Python and C++, and experience in audio signal processing. This full-time role involves collaborative work with a dynamic development team focused on innovation in AI applications for audio processing.

Competenze

• Proven experience in conducting research in neural networks and machine learning.
• Ability to develop and implement machine learning models for audio analysis and generation.
• Strong portfolio showcasing past projects related to audio signal processing and machine learning.

Mansioni

• Conduct advanced research in neural networks for processing audio content.
• Develop and implement machine learning algorithms to enhance sound signal manipulation.
• Collaborate with team members to integrate solutions into applications and prototypes.

Conoscenze

Research methodologies in neural networks

Audio signal processing techniques

Python programming

C++ programming

Machine learning models development

Deep learning frameworks (TensorFlow/PyTorch)

Problem-solving skills

Formazione

Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field

Strumenti

PyBind11

MATLAB

Descrizione del lavoro

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.