Audio Machine Learning Co - op developing real - time AI - powered audio processing algorithms for Bose. Collaborating with experts to prototype and implement novel ML algorithms for various applications.
About the role
- Working Student in Signal Processing and Machine Learning at Fraunhofer Institute for Integrated Circuits. Involved in research and application-oriented projects with flexible hours and learning opportunities.
Responsibilities
- Optimize next-generation image and video processing systems using machine learning models.
- Implement efficient entropy-coding frameworks using open-source and proprietary libraries.
- Coordinate with engineers and scientists in designing and analyzing experimental results.
- Manage the analysis and presentation of findings from quantitative and subjective quality tests.
Requirements
- Currently enrolled in a degree program in machine learning, signal processing, multimedia networks, or a related field.
- Practical experience with C++, Python, and machine learning frameworks such as PyTorch and TensorFlow.
- Interest in learning-based signal processing for communication systems.
Benefits
- Flexible working hours compatible with your studies.
- Open and friendly work environment where your ideas are valued.
- A variety of tasks that inspire and challenge you.
- Participate in application-oriented research and apply your theoretical knowledge in practice.
- Work on exciting, pioneering projects that make a real impact.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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