Company Description
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: We grow together, we enjoy our work, and we inspire each other. Welcome to Bosch.
The Robert Bosch GmbH is looking forward to your application!
Job Description
- As part of our team, you will develop novel approaches to adapt deep generative models (e.g. diffusion models, GANs, VAEs) as data sources to better train and validate downstream models.
- Furthermore, you exploit the controllability and knowledge present in generative base models to move past seeing datasets as just a collection of images.
- You discuss and develop new ideas within the deep learning and computer vision experts at Bosch Center for AI.
- Last but not least, publications in top-tier journals and at conferences follow.
Qualifications
- Education: excellent degree in Computer Science, or related field with focus on Computer Vision and Deep Learning
- Experience and Knowledge: strong background in deep learning and computer vision, experience with deep learning frameworks (TensorFlow, PyTorch, etc.), strong programming skills, in particular Python, knowledge and experience in deep generative modeling as well as foundation models are a plus, experience with publication of peer-reviewed research papers is beneficial
- Enthusiasm: motivation to work in an interdisciplinary and international team
- Languages: very good English skills and academic writing skills
Additional Information
https://www.bosch-ai.com
www.bosch.com/research
Please submit all relevant documents (incl. curriculum vitae, certificates).
You want to work remotely or part-time - we offer great opportunities for mobile working as well as different part-time models or job-sharing. Feel free to contact us.
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.
Need support during your application?
Kevin Heiner (Human Resources)
+49 711 811 12223
Need further information about the job?
Jiayi Wang (Functional Department)
+49 711 811 44429
Anna Khoreva (Functional Department)
+49 711 811 46129
