Research Scientist Foundation Models for Bosch Applications (f/m/div.)
Aufgaben
- As part of our team, you adapt, evaluate and train state-of-the-art foundation models, like CLIP and Stable-Diffusion, in computer vision and related fields. Thereby, you improve existing methods for adapting foundation models, such as prompting and fine-tuning.
- Furthermore, you explore the advantages of foundation models for continual and active learning, anomaly detection, uncertainty quantification, automated data labelling and customized data generation.
- You develop methods to create compute-efficient neural networks for Bosch applications based on a foundation model through distillation or other methods.
- In addition, you conduct in-depth experiments to gain a better understanding of the current limitations of foundation models, you assist the assessment of technological potential and you prepare strategic recommendations for management.
- You contribute to creating and securing intellectual property in this novel field as well as in top-tier publications.
- Last but not least, you create clean, efficient, well-tested, and well-documented code to support research efforts.
Profil - Education: excellent PhD in Deep Learning or Computer Vision with a strong publication record at top AI conferences, such as CVPR, ICLR, NeurIPS, ICCV, or ICML
- Experience and Knowledge: strong programming skills, particularly in Python, and several years of prior industry experience at a high-tech company, for example in an industrial research environment, as well as expertise in developing and implementing advanced deep learning algorithms, hands-on experience in working with foundation models is beneficial
- Personality and Working Practice: a highly self-motivated teamplayer, who is motivated to work in an international team
- Enthusiasm: interest in implementing latest research solutions into projects and services
- Languages: fluent in English
- Education: excellent PhD in Deep Learning or Computer Vision with a strong publication record at top AI conferences, such as CVPR, ICLR, NeurIPS, ICCV, or ICML
- Experience and Knowledge: strong programming skills, particularly in Python, and several years of prior industry experience at a high-tech company, for example in an industrial research environment, as well as expertise in developing and implementing advanced deep learning algorithms, hands-on experience in working with foundation models is beneficial
- Personality and Working Practice: a highly self-motivated teamplayer, who is motivated to work in an international team
- Enthusiasm: interest in implementing latest research solutions into projects and services
- Languages: fluent in English
Kontakt & Wissenswertes
Help us Boosting Bosch with AI.
Apply today at the Bosch Center for Artificial Intelligence!
https://www.bosch-ai.com
www.bosch.com/research
Please submit all relevant documents (incl. CV, letter of motivation, certificates, and links to GitHub or kaggle account).
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?
Michael Streitmayer (Human Resources)
+49 711 811 33306
Need further information about the job?
Anna Khoreva (Functional Department)
+49 711 811 46129
Einblicke in unsere Arbeitswelt
Willkommen in Renningen
Unser Forschungscampus in Renningen bildet den internationalen Knotenpunkt unserer Bereiche Forschung und Vorausentwicklung, Cross-Domain Computing Solutions und Bosch Center for Artificial Intelligence. Mitarbeiter aus aller Welt arbeiten daran, Antworten auf die Fragen von Übermorgen zu finden. Damit sich die Ideen unserer Forscher optimal entfalten können, ist der Campus ein Netz der kurzen Wege zwischen Kommunikation und Inspiration, an dem der Kreativität keine Grenzen gesetzt sind. Wollen auch Sie die Zukunft gestalten? Wir freuen uns auf Ihre Neugier und Innovationsfreude.
