Overview
NoMadMusic is seeking a talented AI Research Engineer to enhance their innovative applications in audio and music. This full-time position is an exciting opportunity for recent PhD graduates to apply their machine learning expertise within a dynamic team focused on developing commercial products in the music industry.
Background & Relevance
The intersection of machine learning and music technology is a rapidly evolving field, with significant potential for innovation. Audio source separation and interactive music applications are at the forefront of this domain, enabling musicians to engage with renowned orchestras and artists in new ways. As the demand for interactive music experiences grows, the role of AI in this sector becomes increasingly crucial.
Key Details
- Position: AI Research Engineer
- Company: NoMadMusic
- Location: Paris, France
- Team Size: 4 engineers/researchers, integrated with a total of 12 company members
- Application Deadline: Open until filled
- Salary: Commensurate with experience
- Contact: thomastassin@nomadmusic.fr
- Website: NomadPlay
Eligibility & Participation
This position is ideal for recent PhD graduates specializing in machine learning or audio processing. Candidates should possess a strong background in algorithm development and programming, particularly in audio-related applications. An interest in music is beneficial but not mandatory.
Submission or Application Guidelines
Interested candidates should prepare their application and send it directly to the provided email address. Ensure that your resume highlights relevant experience and skills in machine learning and audio processing.
Additional Context / Real-World Relevance
The role at NoMadMusic not only offers a chance to work on cutting-edge technology but also contributes to the broader landscape of music education and interactive experiences. The company’s innovative approach has already garnered recognition, including the Paris Innovation Grand Prix and the Art Tech Prize, underscoring the importance of this work in the music industry.
Conclusion
This is a unique opportunity for those looking to merge their passion for machine learning with music technology. Interested individuals are encouraged to apply and be part of a pioneering team that is shaping the future of interactive music applications.
Category: Academic Jobs
Tags: machine learning, audio processing, source separation, music technology, neural networks, music information retrieval, python, matlab, paris
