Deep Learning Engineer

Vor 4 Tagen


Stäfa, Zürich, Schweiz Sonova Vollzeit

Who we are

At Sonova, we envision a world where everyone can enjoy the delight of hearing. This vision inspires us and fuels our commitment to developing innovative solutions that improve hearing health and human connection - from personal audio devices and wireless communication systems to hearing aids and cochlear implants. We're dedicated to providing outstanding customer experiences through our global audiological care services, ensuring that everyone has the opportunity to engage fully with the world around them.

Guided by a culture of continuous improvement that fosters resilience and self-motivation, our team is united by a shared commitment to excellence and a deep sense of pride in our work, each of us playing a vital role in creating meaningful change,

Here you'll find a diverse range of opportunities that span both consumer and medical solutions and the freedom to shape your career while making an impact on the lives of others. Join us in our mission to create a more connected world, where every voice is heard and every story matters.

Staefa, Switzerland

Deep Learning Engineer

We want to grow our AI/ML team to deliver empowering hearing solutions to millions of people worldwide. In our international team we develop deep learning solutions for the next generation of hearing aids.

Are you an enthusiastic engineer with fresh ideas, ready to take on new challenges to push the current technology forward?

Do you want to be part of a team that will revolutionize the hearing experience for millions of people with hearing disabilities?

Are you a researcher who wants to go all the way from the initial idea to a real-life embedded device?

More about the role

  • Design, implement, evaluate, test and deploy DNN models and software prototypes

  • Develop code in a collaborative environment supporting CI/CD workflows

  • Support the development of embedded solutions, working at the interface between machine learning tools and embedded systems.

  • Engage in team collaboration to meet joint goals like product integration, collaborate across different R&D sites

More about you

  • Master's or PhD degree in computer science, electrical engineering, or related technical discipline

  • 2+ years of experience in deep learning and fluent in advanced TensorFlow/Keras or PyTorch concepts

  • Communication skills with full professional proficiency in English

  • Education in audio or speech processing, and understanding of edge computing/low-power computation and embedded systems is a plus

  • Experience with Unix automation tools, DevOps/MLOps is a plus

More about what we offer

As one of the world's leading hearing care providers headquartered in Switzerland, we're committed to building an inclusive culture.

We can offer you a new challenge, with interesting tasks and much more – including an open corporate culture, flat hierarchies, support for further training and development, opportunities to take on responsibility, an excellent range of foods, sports and cultural facilities, attractive employment conditions, and flexible working time models in various roles.

For this vacancy only direct applications will be considered.

Sonova 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.

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