Research Engineer for AI Validation (f/m/div.) at Bosch Group

Renningen, Baden-Württemberg, Germany -

Full Time

Start Date

Immediate

Expiry Date

06 Jul, 26

Salary

0.0

Posted On

07 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI validation, Probabilistic models, Generative AI, Large-scale models, Python, Statistics, Deep neural networks, Foundation models, Agentic AI, Software engineering, Safety standards, Time-series analysis, Formal methods, Product release processes, Interdisciplinary collaboration

Industry

Software Development

Description

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 a research engineer you will develop innovative methods for the validation and release of complex AI models, including probabilistic, generative, and large‑scale models. In close collaboration with validation teams in corporate research and the business units, you will design and develop forward‑looking concepts. Together with the business units, you will analyze technological requirements, particularly in the context of validation and safety of time‑series‑processing models. You will implement and engineer prototypical software solutions and demonstrate them in concrete Bosch use cases. Last but not least, you will integrate existing technologies into toolboxes that support the validation of modern AI functions. Qualifications Education: completed PhD in Computer Science, Statistics, Physics, or a comparable technical field Experience and Knowledge: several years of experience in AI-related topics within industrial product development (e.g., consumer goods, automotive, manufacturing), including hands-on involvement in product release processes, safety standards, and validation methods in software and AI environments proven expertise in modern AI algorithms and principles, such as generative and large-scale models, deep neural networks, foundation models, and agentic AI, complemented by a strong background in statistics extensive experience in developing robust, safe, and reliable AI solutions, including the integration of AI methods with formal methods and statistical approaches to address real-world engineering challenges strong skills in implementing AI algorithms in Python, applying modern, production-grade software development practices and standards Personality and Working Practice: you are able to communicate complex technical topics clearly and enjoy working successfully in interdisciplinary and international teams Languages: business fluent English skills written and spoken, German is a plus Additional Information https://www.bosch-ai.com www.bosch.com/research Please submit all relevant documents (CV, letter of motivation, certificates, and links to GitHub or kaggle account). We offer flexible working models: from various part-time options to mobile working and 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? Meltem Arabacioglu (Human Resources) +49 174 1744 961 Need further information about the job? Duy Nguyen-Tuong (Functional Department) +49 711 811 49408 Work #LikeABosch starts here: Apply now! Legal Entity: Robert Bosch GmbH

Responsibilities

You will develop innovative methods for the validation and release of complex AI models in collaboration with research and business units. Additionally, you will implement prototypical software solutions and integrate existing technologies into toolboxes to support modern AI functions.