Senior Engineer - Audio Machine Learning (18-Month Leased Labor)
Quick Summary
Huawei Heisenberg Research Center (Munich) is responsible for advanced technology research, architectural development, design and strategic engineering of our products.
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. You will contribute to these activities being inserted into an international and experienced team of researchers.
Join us as a
Senior Engineer (18-Month Leased Labor) - Audio Machine Learning (m/f/d)
Develop and optimize innovative audio machine learning technologies, such as acoustic scene classification or multimodal scene classification.
Design, train, and validate the light-weighted 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.
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.
By applying to this position, you agree with our Recruitment Privacy Statement. You can read in full our privacy policy here
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 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.
Please send your application and CV (incl. cover letter and reference letters) in English.
Huawei is a leading global information and communications technology (ICT) solutions provider. Our ICT solutions, products and services are used in more than 170 countries and regions, serving over one-third of the world's population. With 197,000 employees, Huawei is committed to develop the future information society and build a Better Connected World.
Location & Eligibility
Listing Details
- Posted
- June 10, 2026
- First seen
- June 10, 2026
- Last seen
- June 10, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 52%
- Scored at
- June 10, 2026
Signal breakdown
Please let huaweiresearchcentergermanyaustria know you found this job on Jobera.
3 other jobs at huaweiresearchcentergermanyaustria
View all →Explore open roles at huaweiresearchcentergermanyaustria.
Similar Machine Learning jobs
View all →Browse Similar Jobs
Stay ahead of the market
Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.
No spam. Unsubscribe at any time.