Audio ML Engineer Automotive

As a skilled Core / Audio Machine Learning Engineer with experience in automotive applications, you are looking to join an engineering team. Your role will involve working on cutting-edge in-cabin audio intelligence solutions such as voice enhancement, noise cancellation, speaker diarization, and acoustic scene analysis. You will be responsible for delivering ML models for global OEM clients. Key Responsibilities: - Design and implement ML models for in-vehicle audio processing (e.g., beamforming, ANC, VAD). - Collaborate with automotive OEM clients to customize solutions for embedded platforms (DSP/SoC). - Collect, preprocess, and annotate in-cabin audio datasets for model training. - Optimize models for real-time, low-power environments. - Work with cross-functional teams (ADAS, infotainment, embedded systems) to integrate ML components. Qualifications Required: - Strong background in deep learning (PyTorch/TensorFlow) and audio signal processing. - Experience with real-time audio systems and embedded ML deployment. - Familiarity with automotive communication protocols (CAN, A2B) is a plus. - B.Tech/M.Tech in ECE, CS, or related field; 3-6 years of relevant experience.,