Engineering
ML Engineer — Retrieval
You build the retrieval systems that ground every chapter in real sources and market data.
Engineering Remote (EU) Full-time
All rolesWhat you’ll do
- Develop and optimize our RAG pipeline for manuscript and citation quality.
- Build retrieval over Keepa/BSR market data and expert sources.
- Improve relevance, latency and cost of vector search.
- Work on citation verification and hallucination detection.
- Ship models to production safely and monitor their quality.
What you bring
- Experience with RAG, embeddings and vector databases.
- Solid Python skills and ML engineering practice.
- Understanding of LLM evaluation and prompt design.
- A pragmatic view on latency and cost.
- Fluent in German or English.
Nice to have
- LLM fine-tuning experience.
- Background in NLP or publishing.
- Interest in citation and factual accuracy.
What we offer
Remote-first with team weeks in Munich
Competitive salary + equity
Learning budget & conferences
Modern hardware of your choice
30 days off & flexible hours
Fair, transparent culture
Application
Apply for this role
Upload your CV and optional attachments. We’ll get back to you within 5 business days.