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Research Assistant - Speech and Audio Applications(m/w/x)
Deploying and optimizing ML models for real-time audio processing on embedded devices. Strong C/C++ and Python skills required. Hybrid work, flexible hours, state-of-the-art research.
Requirements
- Master’s, Ph.D. or equivalent degree
- Strong C/C++ programming skills
- Good Python knowledge
- Deep learning frameworks experience
- Solid Linux environments experience
- Shell scripting knowledge
- Build tools knowledge
- Practical DNN runtimes knowledge
- Optimization techniques knowledge
- Audio DSPs experience (plus)
- Hardware SDK configuration experience (plus)
- Speech and audio DSP experience (plus)
- Fluent English
- Effective international team work
- Strong analytical skills
- Strong problem-solving skills
- Structured debugging approach
Tasks
- Develop solutions for deploying machine learning models
- Integrate machine learning models across platforms
- Enable real-time execution on mobile and embedded devices
- Optimize algorithms for memory and computational efficiency
- Maintain high performance of algorithms
- Apply signal processing expertise to test algorithms
- Validate algorithmic behavior in audio processing
- Implement clean and reliable code
- Ensure robustness through automated testing
- Adhere to quality assurance practices
- Work with audio processing systems
Education
- Vocational certification
Languages
- English – Fluent
Tools & Technologies
- C/C++
- Python
- PyTorch
- TensorFlow
- Linux
- shell scripting
- gcc
- make
- cmake
- ONNX
- TensorFlow Lite
- audio DSPs
- digital signal processing
Benefits
Flexible Working
- Flexible working hours
- Hybrid work
Modern Equipment
- State-of-the-art research and technology
- Top-of-the-line infrastructure
- State-of-the-art technologies
Diverse Work
- Projects with strong practical components
Informal Culture
- Positive work culture
- Open-minded, helpful, and trusting colleagues
Mentorship & Coaching
- Structured onboarding process
- Coaching
Family Support
- Work-life balance support
Learning & Development
- Ongoing professional and personal seminars
- Language classes
Parking & Commuter Benefits
- Complimentary parking spaces
- Covered bicycle parking
Sustainability Focus
- Charging stations for electric cars
Other Benefits
- Showers at the institute
Healthcare & Fitness
- In-house health management
- Sports courses
- Running groups
Mental Health Support
- Relaxation seminars
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Research Assistant - Speech and Audio Applications(m/w/x)
Deploying and optimizing ML models for real-time audio processing on embedded devices. Strong C/C++ and Python skills required. Hybrid work, flexible hours, state-of-the-art research.
Requirements
- Master’s, Ph.D. or equivalent degree
- Strong C/C++ programming skills
- Good Python knowledge
- Deep learning frameworks experience
- Solid Linux environments experience
- Shell scripting knowledge
- Build tools knowledge
- Practical DNN runtimes knowledge
- Optimization techniques knowledge
- Audio DSPs experience (plus)
- Hardware SDK configuration experience (plus)
- Speech and audio DSP experience (plus)
- Fluent English
- Effective international team work
- Strong analytical skills
- Strong problem-solving skills
- Structured debugging approach
Tasks
- Develop solutions for deploying machine learning models
- Integrate machine learning models across platforms
- Enable real-time execution on mobile and embedded devices
- Optimize algorithms for memory and computational efficiency
- Maintain high performance of algorithms
- Apply signal processing expertise to test algorithms
- Validate algorithmic behavior in audio processing
- Implement clean and reliable code
- Ensure robustness through automated testing
- Adhere to quality assurance practices
- Work with audio processing systems
Education
- Vocational certification
Languages
- English – Fluent
Tools & Technologies
- C/C++
- Python
- PyTorch
- TensorFlow
- Linux
- shell scripting
- gcc
- make
- cmake
- ONNX
- TensorFlow Lite
- audio DSPs
- digital signal processing
Benefits
Flexible Working
- Flexible working hours
- Hybrid work
Modern Equipment
- State-of-the-art research and technology
- Top-of-the-line infrastructure
- State-of-the-art technologies
Diverse Work
- Projects with strong practical components
Informal Culture
- Positive work culture
- Open-minded, helpful, and trusting colleagues
Mentorship & Coaching
- Structured onboarding process
- Coaching
Family Support
- Work-life balance support
Learning & Development
- Ongoing professional and personal seminars
- Language classes
Parking & Commuter Benefits
- Complimentary parking spaces
- Covered bicycle parking
Sustainability Focus
- Charging stations for electric cars
Other Benefits
- Showers at the institute
Healthcare & Fitness
- In-house health management
- Sports courses
- Running groups
Mental Health Support
- Relaxation seminars
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Fraunhofer-Institut für Integrierte Schaltungen IIS
Industry
Research
Description
Das Unternehmen ist eines der weltweit führenden Institute für anwendungsorientierte Forschung in den Bereichen Künstliche Intelligenz, Mikroelektronik und Datenerfassung.
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