Audio Engineer
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Overview
Develop and implement algorithms and software for productive offline training and real-time inference of deep audio coding models. Monitor and evaluate model performance in production contexts and optimize for accuracy, speed, size, and compute resource efficiency. Profile and test reference code in mobile architectures. Design and implement tooling and strategies for development and deployment of optimized deep learning models. Collaborate with cross-functional teams to understand workflows and implement optimized model optimization and deployment techniques.
Responsibilities
- Develop and implement algorithms and software for efficient offline training and real-time inference of deep audio coding models.
- Monitor and evaluate the performance of models in production context and optimize them for accuracy, speed, size, and compute resource efficiency.
- Profile and test reference code in mobile architectures.
- Design and implement custom tooling and strategies for the development and deployment of optimized deep learning models.
- Work closely with cross-functional teams, including product managers, engineers and researchers, to understand their workflows and design and implement optimized model optimization and deployment techniques.
Qualifications
- Mandatory Skills: Has worked with audio codecs; Has worked with deep learning recently; Has machine learning experience.
- Master’s or PhD with 4 years of experience in Electrical Engineering, Computer Science or similar, with a focus on deep learning.
- Strong theoretical and practical background in AI technologies.
- Experience with exploration of new technologies: researching and staying up to date with the latest machine learning technologies, frameworks and inference engines.
- Experience optimizing deep learning algorithms for constrained environments, using techniques such as pruning, distillation, quantisation, etc.
- 3 years of experience with frameworks such as PyTorch/Onnx/NNAPI/TensorFlow/etc.
- 3 years of experience with programming languages such as Python, C/C++, or Matlab.
- Experience with Embedded systems, Computer Architecture, high-performance computing.
- Experience working in a software development team and using good software practices (e.g., VCS and CI).
- Background in Digital Signal Processing with focus on audio or speech signals.
- Experience optimizing ML models for inference using hardware acceleration is a plus.
- Experience in audio and/or speech codecs is highly desirable.
- Strong analytical and problem-solving skills; strong communication skills and ability to work well in a team setting.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- IT Services and IT Consulting
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Location: Sydney, New South Wales, Australia
Posted: 3 days ago
Note: This description is sourced from the job posting and includes only information relevant to the role. No additional postings or extraneous site notices are included.
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📌 Audio Engineer
🏢 HCLTech
📍 City of Sydney