Job Description
Life is always about becoming… Becoming means going on a journey to be the best version of our future selves. While we discover new things, we will face challenges, master them and grow beyond our individual limits.Apply for a job at Mercedes-Benz and find your individual role and workspace to unleash your talents to the fullest. Empowered by visionary colleagues who share the same pioneering spirit. Joining us means becoming part of a global team that aims to build the most desirable cars in the world. Together for excellence.
Job-ID: MER00036LC
Are you a talented student in computational linguistics, computer science or machine learning and want to work on the next generation voice assistant?
Then become part of our team and join us on our success story of the award-winning, innovative voice assistant from Mercedes-Benz!
We develop #HeyMercedes at the R&D (Research & Development) headquarters in Sindelfingen together with our hubs in Silicon Valley, Berlin, Sofia and Beijing. In doing so, we design probably the most direct, emotional interface between our customers and the Mercedes-Benz brand.
In the Speech Software Module team, we take the End-to-End responsibility of the in-car software for the #HeyMercedes voice assistant. This begins with evaluating new technologies, customer insights and designing a technical solution together with our interface-teams. Of course we are also implementing and launching them to our customers.
You role will revolve around supporting the System Architects in strategic and long-term technological decisions. In particular, this means:
- Intent Classification and slot filling
- Acoustic Emotion Detection
- LLM based Dialog-Management and Grounding
In addition we want you to push the in-house open source strategy forward.
These challenges are waiting to be worked on by you:
- Supporting strategic technology decisions by creating proof of concepts in regards to open source LLMs for our embedded in-vehicle computer
- Devise strategy for dialog-management / dialog-design in regards to the grounding of LLMs
- Support the benchmark of embedded NPUs in combination with our in-house developed software solution
- Writing white papers and patents regarding the insights generated from PoCs and benchmarks in regards to TTS, NLP, Emotion Classification
- Researching state of the art and preparing documents for decision making
- Create non-disclosed fine tuning database and devise strategy of data collection together with our offices around the world
- Course of study Computer Linguistics, Computer Science, Machine Learning or comparable
- Bachelor Degree
- Proficient English, German is beneficial, any other language of the 27 we support is a plus as well
- Self-motivated to work on cutting edge technology
- Eager to learn new subjects from scratch
- Passion for automotive
- Advanced skills Python (we will check in the interview), knowledge of C++ and/or Golang is beneficial
- Experience with Chatbots is beneficial
- Basic Knowledge of Tensorflow2, Pytorch
- Basic Knowledge in Docker and CMake
Additional information:
It doesn't work completely without formalities. When sending your online application, please attach your CV, certificate of enrollment, current performance record, relevant certificates, if applicable proof of mandatory internship and the standard period of study (max. 5 MB) and mark your application documents as "relevant for this application" in the online form.
Please find the criteria of employment "here".
Citizens of countries outside the European Trade Union please send, if applicable, your residence / work permit.
We particularly welcome online applications from candidates with disabilities or similar impairments in direct response to this job advertisement. If you have any questions, you can contact the local disability officer once you have submitted your application form, who will gladly assist you in the onward application process: [email protected]
Please understand that we no longer accept paper applications and that there is no right to get your documents returned.
If you have any questions regarding the application process, please contact HR Services by e-mail at [email protected] or by phone: 0711/17-99000 (Monday to Friday between 10 a.m. to 12 a.m. and 1 p.m. to 3 p.m.).
- Meal-Discounts
- Mobile Phone possible
- Discounts for employees possible
- Annual profit share possible
- Events for employees
- Coaching
- Flexitime possible
- Hybrid Work possible
- Health Benefits
- Company Retirement
- Mobility offers
- Barrier-free workplace
- Good public transport
- Parking
- Near-site Childcare
- Inhouse Doctor
- Canteen, Café