обновлено 4 дня назад
Senior Research Engineer (AI Speech Enhancement)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Research Engineer (AI Speech Enhancement): Developing robust DNN-based speech enhancement solutions and scalable model training and evaluation workflows for automotive applications, with an accent on speech and audio processing, machine learning, and production integration. Focus on building proof-of-concepts, evaluating emerging technologies, supporting customer demonstrations, and contributing to patent applications.
Location: Ulm, Germany
Company
develops AI-powered voice and speech technologies for automotive applications, serving leading automakers worldwide.
What you will do
- Develop robust DNN-based speech enhancement solutions for automotive, healthcare, robotics, and home entertainment applications.
- Design, implement, and maintain scalable tools and workflows for training and evaluating DNN models.
- Create proof-of-concepts and participate in customer demonstrations to support business development.
- Integrate new technologies into production-ready products and solutions.
- Analyze emerging technologies and competitive offerings.
- Mentor interns and master’s students and contribute to patent applications.
Requirements
- Master’s degree or PhD in Electrical Engineering, Communications Engineering, Computer Science, or a related field.
- At least 3 years of professional experience.
- Proven experience developing and training machine learning models, especially deep neural networks.
- Strong expertise in digital signal processing, particularly speech and audio processing.
- Solid programming skills in C and Python, plus understanding of software development methodologies and best practices.
- Written and spoken English and German are required.
Culture & Benefits
- Work on voice and AI technologies for the automotive industry.
- Collaborate with a global team focused on innovation and production solutions.
- Contribute to meaningful products used across more than 500 million vehicles.
- Follow workplace security, compliance, data privacy, and information security procedures.
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