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

Moosach, München💼 Full-time🗓 2026-06-11 → 2026-07-30

Core

Develop and optimize innovative audio machine learning technologies, such as acoustic scene classification or multimodal scene classification, for embedded hardware.

Role type

Senior IC machine-learning engineer (audio)

Builds

Light-weighted audio ML models for embedded systems

Domain

Audio signal processing and embedded AI

Deliverable

production ML models

Required skills

Deep learning, PyTorch, TensorFlow, Python, model compression (pruning, quantization, knowledge distillation), audio signal processing

Preferred skills

C/C++ programming, embedded AI systems experience

Technologies

PyTorch, TensorFlow, C/C++

Responsibilities

Design, train, and validate light-weighted models using audio datasets; perform literature analysis to identify promising audio AI technologies; optimize acoustic scene classification models.

Seniority

Senior, hands-on IC

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