Data Scientist (Deep Learning)

Audatex North America LLC
United States
10 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Languages
English
Job source

Tech stack

Artificial Neural Networks Audio Signal Processing Python (Programming Language) Deep Learning

Job description

  • Developing and improving deep learning models for real-time speech enhancement on embedded device platforms.
  • Designing and conducting experiments to evaluate novel neural network architectures, loss functions, datasets, and evaluation methods.
  • Optimizing model performance through automated hyperparameter searches on our dedicated GPU cluster and custom deep learning infrastructure.
  • Following the latest innovations in deep learning research and collaborating with the team to learn, share ideas, and stay up to date through our journal club, brainstorming sessions, and online courses.

Requirements

  • Bachelor’s or Master’s degree in a technical field
  • At least 2 years of relevant experience
  • Comfortable using Python to build solutions that are readable, maintainable, and easy to build upon
  • Curious mindset with a desire to continuously learn, explore new ideas, and share knowledge
  • Dependable communication skills with full professional proficiency in English
  • Experience with digital signal processing or audio processing is a plus

Benefits & conditions

  • 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)

About the company

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.

Audatic is a small, supportive team that values collaboration and openness. 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.

More about the role

As a Data Scientist at Audatic, you will transform cutting-edge research into technology that solves challenging audio problems and improves the lives of hearing aid users.

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