Senior Deep Learning Engineer (m/f/d)

Sonova; Berlin; Hybrid; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leader in hearing technology seeks a Deep Learning Engineer in Berlin to develop advanced algorithms for sound environments. Candidates should have 3+ years of deep learning experience, proficiency in Python, and a relevant degree. Offering a competitive salary, hybrid work policy, and a friendly, collaborative work environment.

Leistungen

Diverse international team

Hybrid work policy

30 days of paid vacation

Free daily meals and snacks

Conference visits

Company-sponsored team events

Qualifikationen

• 3+ years of experience in deep learning or a Ph.D. in the field.
• Proven track record of publications or solving real-world problems.
• Ability to write clean, documented Python code.

Aufgaben

• Train deep learning models for optimal performance.
• Experiment with new neural network approaches.
• Conduct automated hyper-parameter optimizations.
• Take ownership of deep learning projects.
• Contribute to team learning efforts.

Kenntnisse

Deep learning

Python programming

Digital signal processing

Communication skills

Ausbildung

Bachelor's or Master's degree in a technical field

Ph.D. in deep learning

Jobbeschreibung

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.

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

Responsibilities

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

Qualifications

At least some, ideally all of the following:

• A bachelor’s or master’s degree in a technical field and at least 3 years of experience in deep learning or Ph.D. in the field
• Proven track record of publications or solving real-world problems with deep learning
• Ability to write clean and well-documented Python code following best software engineering practices
• Dependable communication skills with full professional proficiency in English
• Experience with digital signal processing or audio processing is a plus

Benefits

In addition to a competitive compensation package, you can expect the following:

• Diverse team of international talent and an open, friendly, and collaborative company culture
• Conference visits and the opportunity to publish relevant discoveries
• Green, modern office in the heart of Berlin
• Company-sponsored team events and retreats
• Free daily meals, drinks, and snacks
• 30 days of paid vacation
• Company-sponsored BVG ticket
• Hybrid work policy with at least 60% on-site presence.

We look forward to your application!