Deep Learning Audio Codec Engineer
1 day ago
About the Role:
We are seeking a Deep Audio Coding Optimization and Deployment Engineer to design, implement, and optimize deep learning models for audio coding. This role focuses on improving model efficiency, deploying models to real-world environments, and collaborating with cross-functional teams to advance audio coding technology.
Key Responsibilities:
- Develop and implement algorithms for efficient training and real-time inference of deep audio coding models
- Optimize models for accuracy, speed, size, and computational efficiency, including model compression techniques (quantization, pruning, distillation)
- Deploy AI models as reference code for standards and ensure performance on mobile and embedded architectures
- Profile, test, and optimize models using hardware acceleration where applicable
- Collaborate with product managers, engineers, and researchers to define and refine model evaluation methods
- Research and implement the latest machine learning and inference technologies to enhance audio coding solutions
Required Qualifications & Skills:
- Masters or PhD in Electrical Engineering, Computer Science, or a related field with a focus on deep learning
- Strong experience in audio/speech codecs and digital signal processing
- Hands-on experience with deep learning frameworks: PyTorch, TensorFlow, ONNX, NNAPI
- Proven experience in model optimization for constrained environments (quantization, pruning, distillation)
- Programming proficiency in Python, C/C++, or Matlab
- Experience with embedded systems, computer architecture, or high-performance computing
- Strong analytical, problem-solving, and team collaboration skills
- Preferred Qualifications: Experience with hardware-accelerated inference
- Familiarity with standards-based audio coding projects
- Prior contributions to open-source audio or ML libraries
Location - Bengaluru,Hyderabad,Delhi / NCR , Chennai , Pune , Kolkata , Ahmedabad , Mumbai
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