Staff / Principal Applied AI Researcher (Agentic Search)
Amsterdam, Netherlands; London, United Kingdom; Remote - Europe; Remote - United States
R
USD 175K-224K (estimate) Senior-level Full Time
Tasks
- Analyze trade offs across relevance latency and cost
- Define evaluation paradigms and metrics for agentic systems
- Deploy systems in high throughput low latency environments
- Design multi stage retrieval architectures
- Develop methods for grounding LLMs in real time web data
- Drive applied research and technical direction across retrieval and ranking systems
- Lead experimentation on retrieval approaches and bring into production
- Mentor engineers and raise the technical bar
- Own ambiguous problems end to end
Perks/Benefits
- Career growth and learning opportunities
- Collaborative culture
- Flexibility
- International environment
- Ownership
Skills/Tech-stack
C++ | Deep learning | Embeddings | Evaluation metrics | Go | Hybrid search | Information Retrieval | Knowledge Base | Knowledge Base Systems | LLM | Language Models | Large Language Models | Machine Learning | Python | RAG | Ranking | Recommendation Systems | Reranking | Retrieval models | Search | Transformers
Education
N/A
Regions
Countries
States
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