Senior Engineer - Audio Machine Learning (18-Month Leased Labor)

Senior Engineer (18-Month Leased Labor) - Audio Machine Learning (m/f/d)

Your mission

• Develop and optimize innovative audio machine learning technologies, such as acoustic scene classification or multimodal scene classification.
• Design, train, and validate lightweight models using relevant audio datasets, ensuring suitability for embedded hardware.
• Perform literature analysis and technical insight to identify promising technologies for audio classification and other AI-based audio technologies.

Your areas of expertise

• Master’s degree or Doctoral degree in Computer Science, Electrical Engineering, Signal Processing, or a related field.
• Strong theoretical knowledge and practical experience in deep learning. Familiarity with audio signal processing is a plus.
• Hands‑on experience with machine learning frameworks such as PyTorch or TensorFlow.
• Familiarity with model compression techniques (pruning, quantization, knowledge distillation) is a significant advantage.
• Programming proficiency in Python is a must. Experience with programming embedded AI systems (C/C++) is a plus.
• A research-oriented mindset, with curiosity and a passion for hands‑on solving complex, real-world problems.
• Excellent written and spoken English communication skills, and the ability to work effectively in an international environment.

Your rewards of working here

• Our culture is characterized by innovative power and team spirit as well as the intensive exchange of knowledge and experience within our global network.
• We offer healthy meals ranging from traditional Chinese to western delicacies in our famous company canteen.
• To keep your development ongoing, you will find a broad range of training opportunities. Many online and face-to-face training programs including language courses in German and Mandarin.
• Our diverse and welcoming environment is shaped by different backgrounds and around 40 individual nationalities.
• Self‑responsible work in a competent, motivated and constantly growing team.

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