About the Role
The ideal candidate will have a strong background in applying machine learning to Digital Signal
Processing, particularly in audio signal analysis and accelerometer data analysis. This role involves
developing innovative ML models, including CNNs, RNNs, GANs, and leveraging techniques such as LLMs
and low-rank adaptation for enhancing our product offerings. The successful candidate will also be
proficient in MLOps practices and deploying ML models into production environments.
Key Responsibilities:
1. Custom ML Model Development: Design and build custom machine learning models from
scratch, tailored to specific applications in digital and audio signal processing, and accelerometer
data analysis. The ideal candidate will have published papers or demonstrable customized model
custom built f...
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