Backend Engineer - Search (all genders)
Develop the search engine behind ABOUT YOU, covering query understanding, entity resolution, and semantic vector search in Node.js/TypeScrip
Develop the search engine behind ABOUT YOU, covering query understanding, entity resolution, and semantic vector search in Node.js/TypeScrip
Definiert die Kamera-Spezifikation für Manipulationsdaten, baut das Bewertungs-Harness und trainiert erste Robotik-Policies auf eigenen Lagerdaten.
Definiert die Kamera-Erfassungsspezifikation für Manipulations-Trainingsdaten, baut das Evaluationsframework und trainiert erste Roboter-Policies auf eigenen Daten.
About : We are seeking a MLOps Engineer (m/f/d) to build, operate, and improve ML/AI solutions in production.
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
Develop the search engine behind ABOUT YOU, covering query understanding, entity resolution, and semantic vector search in Node.js/TypeScript - Blend OpenSearch relevance, embedding similarity, and behavioral re-ranking signals into unified search results - Build search-index pipelines (entities, synonyms, k-NN product vectors) streaming data from BigQuery into OpenSearch - Integrate LLMs and embedding models (Gemini, Vertex AI) under tight latency budgets with caching and fallback layers - Guard search relevance using golden lists, regression suites, and continuous A/B experiments - Shape architecture alongside our Tech Lead and collaborate closely with data analysts, engineers, and product managers Qualifications - You love investigating the why behind search outcomes and turning those findings into actionable technical improvements - 3+ years of experience building scalable, low-latency backend APIs (Node.js/TypeScript preferred, or fast-converting from Java, Go, or Kotlin) - Real depth in Elasticsearch/OpenSearch (mappings, custom analyzers, percolators, scoring functions) beyond just basic query clients - Strong algorithmic intuition for ranked data (merging, deduplication, score blending, and latency trade-offs) - You re excited to bridge backend engineering and ML by serving model scores, embeddings, or LLM features in production - Fluent English communication skills and a pragmatic, data-curious mindset
- IR/NLP fundamentals (tokenization, multilingual search, relevance evaluation frameworks) - Vector search experience (k-NN/HNSW indices, SigLIP embeddings, recall vs. latency tuning) - LLM engineering (prompt caching, timeout budgets, Datadog LLM Observability) - Familiarity with BigQuery, dbt, or Dagster pipelines
Your perks at a glance: Visit our benefits page. Simply apply online via our career page - we will get back to you as soon as possible! A Place Where You Can Be You We take it as our responsibility to create an environment where everyone feels welcome, exactly as they are. Different backgrounds and perspectives make us stronger and shape our culture in ways that matter. What we stand for internally, we stand for as a brand: acceptance, inclusion, and a fairer approach to fashion.
ABOUT YOU is one of Europe’s fastest growing e-commerce companies. Based in Hamburg and Berlin, we operate at the intersection of fashion and technology. Our mission is to rethink online shopping and make it personal and seamless.
This takes more than good ideas. It takes people who take initiative and challenge the status quo. We believe in flat hierarchies, direct communication, and pragmatic decisions.
No long approval chains. Just ownership, trust, and clear responsibility. We work hard, but we also believe in enjoying the ride together - over team lunches, afterwork drinks, company events, or a quick coffee in between meetings.
If this sounds like you, ABOUT YOU could be the right place to bring in your perspective.
Interesse an dieser Position?
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Zur OriginalanzeigeIm Handel zeigt sich KI am schnellsten an Zahlen: Empfehlungen, Preisgestaltung, Bedarfsvorhersage, Kundendienst. Viele der Rollen hier wenden KI an, statt sie zu bauen.