Website IC Resources
Technology recruitment partner to the global deep tech community since 1999. We connect innovative organisations to the deep tech talent they need.
An innovative tech company is looking for an AI Researcher / Embedded AI Engineer to develop and deploy AI-powered audio enhancement solutions on edge devices. This role focuses on optimising deep learning models for real-time performance in resource-constrained environments.
Responsibilities:
- Develop AI models to improve audio quality on embedded systems.
- Optimise model size, latency, and efficiency for on-device deployment (CPU/NPU).
- Translate complex requirements into robust, production-grade code.
- Work across software, hardware, and research teams to ensure system-level integration.
- Contribute to innovation through research exploration and proposal development.
Required Skills:
- MSc/PhD (or equivalent experience) in Computer Science, Engineering, or related field.
- Hands-on experience deploying ML models on embedded hardware.
- Strong background in audio signal processing and machine learning.
- Proficient in Python and C++ for embedded development.
- Strong communication and collaboration skills, with experience planning technical work.
Nice to Have:
- Research publications or open-source contributions in ML/AI.
- Experience with knowledge distillation, federated learning, or model compression.
- Familiarity with embedded Linux, multi-threaded programming, and CI tools.
If you’re an AI Researcher / Embedded AI Engineer or hold the relevant experience and are interested in this exciting opportunity, please do apply!
If you are interested in another other AI/ML and Computer vision roles, please reach out to Oscar Harper at IC Resources.