- Berlin, Germany
- Hybrid
- 5+ years
Senior Search Engineer bridging search infrastructure and data science to build high-performance retrieval pipelines and run rigorous experiments.
Compensation
Competitive compensation package (Base salary + annual bonus)
Responsibilities
- Design and implement search features end-to-end: from indexing pipeline changes and schema design to query rewriting, ranking, and autocomplete.
- Lead data-driven technical initiatives — write RFCs grounded in query log and user behaviour analysis, then own delivery from design to production.
- Champion semantic and vector search: design embedding-based retrieval components, integrate LLMs for query understanding or evaluation, and measure real impact via A/B experiments.
- Build and maintain offline evaluation pipelines (relevance judgment, NDCG, MRR) to accelerate the feedback loop between experimentation and deployment.
- Improve indexing reliability and throughput — reduce re-ingestion times, ensure consistency, and tighten SLAs.
Requirements
- Nice to have: LLM-based approaches
- Nice to have: big data tooling
- Nice to have: Spark
- Nice to have: Trino
- Nice to have: DuckDB