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

Stellenbeschreibung:

Overview

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. You will integrate existing technologies into toolboxes that support the validation of modern AI functions.

Responsibilities

Develop methods for validation and release of complex AI models (probabilistic, generative, large‑scale).
Collaborate with validation teams in corporate research and business units to design forward‑looking concepts.
Analyze technological requirements for validation and safety of time‑series‑processing models.
Implement and engineer prototypical software solutions and demonstrate them in concrete Bosch use cases.
Integrate existing technologies into toolboxes that support 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

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. Diversity and inclusion are firmly anchored in our corporate culture. We welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.