Machine Learning Research Engineer

3 days ago

London, United Kingdom IC Resources Full time

We’re partnered with an audio AI company developing breakthrough technologies that elevate the quality and fidelity of digital sound. Their products leverage advanced machine learning and signal processing to deliver high-performance voice isolation, audio enhancement and intelligent listening experiences used by thousands of people worldwide.They are now seeking a Machine Learning Research Engineer to join their growing research team in London. You’ll work on the development of new audio ML capabilities, contributing to research, model design, training and deployment across GPU, CPU and NPU environments. This role sits within the audio super-resolution research track, pushing beyond the state of the art in audio generation and enhancement.ResponsibilitiesConduct research and develop deep learning models for audio super-resolution and related audio ML tasks Evaluate, stress-test and refine ML models to ensure real-world robustness and suitability for production Expand the company’s audio ML algorithm suite while maintaining low memory usage and minimal processor overhead Implement and train models across multiple hardware architectures, supporting end-to-end workloads from research and implementation through to training, evaluation and inference Communicate research results internally across teams and contribute to technical reports and papers RequirementsMSc or PhD in Artificial Intelligence, Machine Learning, Computer Science/Engineering, Mathematics, or a related field Strong knowledge of machine learning and deep learning fundamentals Background in real-time audio ML research, including experience with both conventional architectures (CNNs, RNNs) and emerging architectures such as state space models Excellent Python skills and expertise with a modern ML framework such as PyTorch Experience applying and optimising ML techniques in a product-driven environment Knowledge of real-time audio signal processing and/or real-time machine learning. PreferredExperience in music or speech source separation (personalised separation is a plus) Background or interest in music This is an opportunity to join a high-performing team building next-generation audio ML technologies with meaningful real-world impact.If you fit the requirements and are interested in this opportunity, then apply now Otherwise, if you’re interested in any other AI/ML and Computer Vision roles, then reach out to Oscar Harper at IC Resources.

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