![]() ![]() Developing and improving audio processing and source separation algorithms Today, NoMadMusic is recruiting a AI research engineer to join its team based in Paris, France.Īmong the R&D team, your main tasks will be: In 2018, after 5 years of development, NoMadMusic has raised funds from private and public investors in order to develop its catalog, its technology and to be ready for a go to market in September 2019. The project has been awarded the Paris Innovation Grand Prix in 2018, the Art Tech Prize 2018 in Geneva and the Music Education Prize by the Chambre Syndicale des Editeurs de Musique de France. The application NomadPlay ( ) gives to every musician the opportunity to play with famous orchestras and artists. NoMadMusic ( is a classical, jazz and world music record label focused on offering interactive music through audio source separation methods and interactive scores. ![]() Job description: full time job within a team of 4 engineer / researchers / developers, completely integrated with the 12 members of the company. Requirements include identifying, retrieving, manipulating, and exploiting multiple structured and unstructured data sets from various sources, including building or generating new data sets as appropriate as well as initiating the efficient implementation of methods, tools, and algorithms using a comprehensive range of technologies.īachelor’s or higher degree in Computer Science, Mathematics, or a related fieldĮxperience with Hadoop framework, MapReduce, Hive, Pig, or other open source data analytic tools.Audience: Fresh PhD who want to apply their ML skill to develop innovative applications in audio and music, with direct implementation within a commercialized product, and an ambitious technological roadmap for the years to come. Recommend and develop new technical solutions, products, and/or standards in support of functions strategy and operations. ![]() Develop information tools, algorithms, dashboards, and queries to monitor and improve customer data processing. Webservice and Database development experienceĭesign and develop methods, processes, and systems to consolidate and analyze structured and unstructured data. Strong software skills including proficiency in Java, JavaScript, Python, object-oriented design, or other technologies and techniques Knowledge of software life-cycle management and ability to develop robust, production-ready software Must be able to apply research skills to identify various methods and solutions to complex software challengesīachelor’s or higher degree in Computer Science, Computer Engineering, Mathematics, or a related field Responsibilities include creating new tools and applications using a variety of software languages, frameworks, and libraries as well as refining and enhancing existing applications to better meet the customer's mission. Work includes engineering robust infrastructure, end-point capabilities, and cloud implementations. Support research, engineering, and development of innovative solutions to support operational Intelligence Community missions. Strong software skills including proficiency in C/C++ and Pythonĭevelop, maintain, and enhance complex and diverse software systems. ![]() Strong analytical skills in the areas of adaptive filter theory, spectral estimation, detection and estimation theory, linear algebra, and/or stochastic processesįluency in X-Midas, GNURadio, MATLAB, or similar signal processing software environment Responsibilities include development of digital signal processing algorithms and analysis tools conducting data processing and analysis performing signal detection, characterization, and geolocation operations as well as designing prototype systems and implementing algorithms in software as research progresses toward practical application.īachelor’s or higher degree in Electrical Engineering, Computer Engineering, Physics, Mathematics, or a related field Define sensor and signal processing systems for optimal performance, and build signal collection and processing systems. Conduct applied research and development, including the development and assessment of signal processing algorithms against real-world data. ![]()
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