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

Huawei; München; Vor Ort; EUR 65.000 - 85.000; Vollzeit

Benefits dieser Stelle

Healthy meals

Training opportunities

Diverse environment

Zusammenfassung

Huawei in Munich is looking for a Senior Engineer specialized in audio machine learning for an 18-month leased position. You will develop and optimize innovative machine learning technologies and validate models for embedded hardware.

The ideal candidate possesses a Master’s or Doctoral degree in a relevant field and has experience with frameworks like PyTorch or TensorFlow. Expect a dynamic work culture with various benefits including training programs and healthy meals.

Qualifikationen

• A Master's or Doctoral degree in Computer Science, Electrical Engineering, Signal Processing, or a related field.
• Strong theoretical knowledge and practical experience in deep learning.
• Hands-on experience with machine learning frameworks such as PyTorch or TensorFlow.

Aufgaben

• Develop and optimize innovative audio machine learning technologies.
• Design, train, and validate lightweight models using relevant audio datasets.
• Perform literature analysis to identify promising technologies for audio classification.

Kenntnisse

Deep learning

Audio signal processing

Python programming

Machine learning frameworks (PyTorch, TensorFlow)

Ausbildung

Master’s or Doctoral degree in Computer Science/Engineering

Tools

PyTorch

TensorFlow

Jobbeschreibung

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

Huawei Heisenberg Research Center (Munich) is responsible for advanced technology research, architectural development, design and strategic engineering of our products.

Audiovisual Technology Lab in Huawei Munich Research Center is developing innovative technologies in the field of acquisition, encoding and decoding, processing and presentation for the media field, including audio, video, image and graphics.

Your mission

• Develop and optimize innovative audio machine learning technologies, such as acoustic scene classification or multimodal scene classification.
• Design, train, and validate the 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 (e.g., pruning, quantization, knowledge distillation) is a significant advantage.
• Programming proficiency in Python is a must. Experience with programming embedded AI systems (e.g., 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.

Benefits

• 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 incl. 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.