20 beste Stellen als deep learning in hönow – aktuell auf Personalsuche

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Senior Deep Learning Engineer (m/f/d)

Sonova -
Berlin

Jetzt bewerben

Details zur Stelle

164.070 € pro Jahr
vor 6 Tagen

Leistungen

Firmenevents
Kostenfreies oder vergünstigtes Deutschland-Ticket

Qualifikationen

Doktorat
Signalverarbeitung
Master
Bachelor
Deep learning
Kommunikationsfähigkeit
Python

Vollständige Stellenbeschreibung

Who we are

At Audatic, we build systems to render speech from any sound scenario clear and free of noise using state-of-the-art deep learning technology. Our mission is to empower millions of people with hearing loss to enjoy interactions in demanding social settings like bars or restaurants.

As a part of the Sonova Group, our team developed the speech enhancement neural network for the Phonak Infinio Sphere - the world’s first hearing aid to run a deep neural network (DNN) for real-time speech enhancement on a custom-built, low-power, embedded neural accelerator. Since then, numerous clinical studies and extensive market feedback have confirmed the significant, life-changing benefits of this breakthrough technology.

As a small, supportive team within a global leader, we pair startup agility with Sonova’s scale, audiological expertise, and world-class resources. Everyone here has the chance to shape how we work, contribute their ideas and have a direct impact on the products we deliver - creating technology that can transform lives.

Berlin, Germany

Senior Deep Learning Engineer (m/f/d) - Audatic

More about the role

Deep Learning Engineers form the core of our team at Audatic. If you are excited to develop novel deep learning algorithms for audio processing, we have a fantastic job opportunity for you!

Your responsibilities will include:

Training state-of-the-art deep learning models that provide optimal quality and efficiency on our embedded device platforms.
Experimenting with novel approaches such as new types of neural network architectures, loss functions, datasets, and evaluation metrics.
Staying up to date with the latest innovations in deep learning research and identify new ideas for our project work and research initiatives.
Developing and conducting automated hyper-parameter optimizations on our dedicated GPU cluster and custom deep learning software stack.
Taking end-to-end ownership of deep learning projects from idea to product deliverable and provide guidance in technical discussions and code reviews.
Contributing to learning efforts in the team like our regular journal club, brainstorming sessions, and co-learning through online courses.

More about you

You have:

Bachelor’s or master’s degree in a technical field and at least 5 years of relevant experience or a Ph.D. in the field and at least 2 years of relevant experience
Strong proficiency in Python with a demonstrated ability to write robust, clean and maintainable code
Proven track record of publications or solving real-world problems with deep learning
Dependable communication skills with full professional proficiency in English
Experience with digital signal processing or audio processing

More about what we offer

At Audatic, you’ll be part of a diverse, international, and passionate team that values collaboration and innovation. We provide an environment that allows you to balance professional growth with personal well-being.

Competitive compensation package
30 days of paid vacation
Conference visits and the opportunity to publish relevant discoveries
Free daily meals, drinks, and snacks at our green and modern office in the heart of Berlin
Regular team events and a yearly retreat
Company-sponsored public transport ticket (Deutschlandticket)
Hybrid work model (at least 60% on-site)

Audatic is an equal opportunity employer.

We team up. We grow talent. We collaborate with people of diverse backgrounds to win with the best team in the market place. We guarantee every person equal treatment in regard to employment and opportunity for employment, regardless of a candidate’s ethnic or national origin, religion, sexual orientation or marital status, gender, genetic identity, age, disability or any other legally protected status.

164070

Jetzt bewerben

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