About us
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.
Your responsibilities will include:
More about you
You have:
Note: Studies show that underrepresented talent groups in tech often apply to jobs only if they meet 100% of the qualifications. We care about growth, potential, and transferable skills. If you are passionate about this role but don't check every box, please apply anyway!
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.
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.