Staff Machine Learning Engineer, AI Applications, Berlin
Tasks
- Build feedback loops for continuous improvement
- Build knowledge mining capabilities
- Conduct online experimentation
- Create offline benchmarks and golden datasets
- Define production quality metrics
- Enhance memory quality and multi step task performance
- Improve tool use quality and routing behavior
- Integrate failures and corrections into prompts retrieval benchmarks and model behavior
- Lead customer support AI quality alignment
- Own evaluation strategy for LLM systems
- Run human review workflows
- Set technical direction across teams
Perks/Benefits
Skills/Tech-stack
Agentic AI | Benchmarks | Data Annotation | Evaluation | Experimentation | Feedback loops | Golden datasets | Human-in-the-loop | Information Retrieval | Knowledge graphs | Language Models | Large Language Models | Machine Learning | Memory | Multi-step reasoning | Production Monitoring | Prompt engineering | Ranking | Retrieval | Retrieval-Augmented Generation | Routing | Search | The Loop | Tool use
Education
N/A
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