Join our passionate and dedicated teams who are shaping the future of sound!
About L-Acoustics
L-Acoustics aims to connect humans through the best shared sound experiences. We are the industry leaders in the design, manufacturing, and distribution of premium sound reinforcement technologies. Our mission is to shape the future of sound with technologies that enable audio professionals and artists to elevate the listener experience.
Role description
As a Deep Learning Engineer at L-Acoustics, you will play a crucial role in developing state-of-the-art deep learning models for a variety of audio projects such as source separation, metadata extraction or anomaly detection.
At L-Acoustics, we are committed to product-driven research to ensure our deep learning models are not only innovative but also practical and ready for production. Our products primarily serve the live music industry, where high-fidelity audio and low-latency performance are essential. You will collaborate with cross-functional teams to integrate these cutting-edge solutions into our products, driving the future of live audio experiences.
Responsibilities
Develop state-of-the-art deep learning models for audio projects, including audio source separation, signal enhancement, and room acoustics.
Develop datasets and conduct data preprocessing and augmentation specific to audio datasets.
Perform model evaluation, validation, and testing to ensure robustness and accuracy. This includes building realistic test sets to minimize potential domain shifts.
Conduct product-driven research to align deep learning solutions with market needs and drive innovation.
Publish research findings in top-tier conferences such as ICASSP, WASPAA, ICLR, and contribute to the academic and professional community.
Document and present findings and results to stakeholders.
Required
MSc / PhD degree in Computer Science, Artificial Intelligence, Deep Learning, or related discipline.
Experience in successfully completing deep learning projects for audio, acoustics, or Music Information Retrieval.
Proficiency in programming languages (e.g. Python, C++)
Proficiency with deep learning frameworks (TensorFlow, PyTorch)
Strong understanding of neural networks, CNNs, LSTMs, transformers, and other deep learning architectures.
Familiarity with data preprocessing techniques and tools for audio data and room acoustics.
Excellent problem-solving skills and attention to detail.
Strong communication and teamwork skills.
Preferred
Knowledge of generative models, diffusion models and speech processing
A passion for Audio and Music.
Publications or contributions to the deep learning and audio processing community.
Experience with cloud platforms such as Azure, AWS, or Google Cloud.
Familiarity with Agile methodologies and tools such as JIRA.
Location
London, UK (hybrid: 3 days a week in office, plus occasional travels)
Join our passionate and dedicated teams who are shaping the future of sound!
Top Skills
What We Do
L-Acoustics is renowned for developing innovative sound systems and technologies that elevate the listening experience. Founded in France in 1984, L-Acoustics currently employs 800 team members worldwide, with headquarters in Paris, Los Angeles, London, and Singapore. Recognized for pioneering the line source array, L-Acoustics continues to shape the future of sound with solutions such as the L-ISA Immersive Hyperreal Sound technology, which offers 3D multi-dimensional audio. L-Acoustics also provides exceptional concert-grade sound systems and immersive sound spaces for residential and architectural environments. In recognition of introducing these groundbreaking creative technologies, L-Acoustics was named one of Fast Company’s Most Innovative Companies of 2020 and 2023.
L-Acoustics sound systems can be heard around the globe in venues like the Hollywood Bowl and the Philharmonie de Paris, at the world's top-grossing festivals such as Coachella and Tomorrowland, international special events like the World Expo 2020 and World Cup 2022, and on tour with world-class artists such as Billie Eilish, Post Malone, Arctic Monkeys, and Jacky Cheung, and in the Las Vegas residencies of Katy Perry, Adele, and more.
