Staff / Principal Applied ML Engineer (Search & Retrieval)
Amsterdam, Netherlands
EUR 60K-84K (estimate) Senior-level Full Time
Tasks
- Build embedding based retrieval and indexing systems
- Collaborate to ship production machine learning systems
- Contribute to system architecture and technical direction
- Define evaluation frameworks and quality metrics
- Design and deploy retrieval reranking models
- Develop query understanding rewriting retrieval pipelines
- Improve search relevance latency and cost
- Lead and mentor engineering teams
- Operate low latency high throughput production systems
- Own end to end machine learning systems
Perks/Benefits
Skills/Tech-stack
C plus plus | Embeddings | Evaluation metrics | Go | High Throughput | High-Throughput Systems | Hybrid search | Indexing | Information Retrieval | Low Latency | Low-Latency Systems | Machine Learning | Python | Query Understanding | Query rewriting | Ranking Models | Reranking | Retrieval systems | Search Relevance | Transformers
Education
N/A
Regions
Countries
States
Cities
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