Position Description
As a Working Student in the GenAI / LLM team at Cinemo you will support the evaluation and validation of agentic AI systems and GenAI algorithms for NLP that power next-generation in-car experiences. You will help build datasets extend evaluation tooling and contribute to end-to-end testing workflows to ensure our non-deterministic AI components are measurable reliable and ready for real-world automotive environments across cloud-based services and in-vehicle platforms such as Android Automotive OS (AAOS) and Linux.
In this role you will:
- Support evaluation of agentic AI systems and LLM-based NLP features including qualitative and quantitative analysis.
- Create curate and maintain datasets for benchmarking regression testing and scenario coverage.
- Extend and improve internal evaluation frameworks (metrics dashboards automated test runs).
- Contribute to end-to-end testing of GenAI features within the in-car experience including integration and validation workflows.
- Document findings track model/system changes and communicate results clearly to the team.
- Collaborate with engineers and researchers to translate evaluation insights into actionable improvements.
What you will need to succeed:
- Ongoing Bachelors or Masters studies in Computer Science AI/ML Data Science Computational Linguistics or a related field.
- Hands-on programming skills in Python and a solid understanding of basic ML/NLP concepts.
- Interest in GenAI / LLMs agentic systems and evaluation of non-deterministic AI behavior.
- Experience with data handling and dataset creation (labeling preprocessing quality checks).
- Familiarity with software testing concepts (e.g. unit/e2e testing CI) is a plus.
- Good written and spoken English communication skills.
Position DescriptionAs a Working Student in the GenAI / LLM team at Cinemo you will support the evaluation and validation of agentic AI systems and GenAI algorithms for NLP that power next-generation in-car experiences. You will help build datasets extend evaluation tooling and contribute to end-to-...
Position Description
As a Working Student in the GenAI / LLM team at Cinemo you will support the evaluation and validation of agentic AI systems and GenAI algorithms for NLP that power next-generation in-car experiences. You will help build datasets extend evaluation tooling and contribute to end-to-end testing workflows to ensure our non-deterministic AI components are measurable reliable and ready for real-world automotive environments across cloud-based services and in-vehicle platforms such as Android Automotive OS (AAOS) and Linux.
In this role you will:
- Support evaluation of agentic AI systems and LLM-based NLP features including qualitative and quantitative analysis.
- Create curate and maintain datasets for benchmarking regression testing and scenario coverage.
- Extend and improve internal evaluation frameworks (metrics dashboards automated test runs).
- Contribute to end-to-end testing of GenAI features within the in-car experience including integration and validation workflows.
- Document findings track model/system changes and communicate results clearly to the team.
- Collaborate with engineers and researchers to translate evaluation insights into actionable improvements.
What you will need to succeed:
- Ongoing Bachelors or Masters studies in Computer Science AI/ML Data Science Computational Linguistics or a related field.
- Hands-on programming skills in Python and a solid understanding of basic ML/NLP concepts.
- Interest in GenAI / LLMs agentic systems and evaluation of non-deterministic AI behavior.
- Experience with data handling and dataset creation (labeling preprocessing quality checks).
- Familiarity with software testing concepts (e.g. unit/e2e testing CI) is a plus.
- Good written and spoken English communication skills.
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