# Data Scientist - AI Search & Ranking at trivago

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Own end-to-end components of search, ret

- **Company:** trivago (https://jobs.trythestack.co/companies/trivago)
- **Location:** Germany
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, SQL, PyTorch, HuggingFace, Machine Learning, Natural Language Processing, Learning-to-Rank, Retrieval Systems, Transformer Models, A/B Testing, Vector Search, GCP, Vertex AI, Airflow, Data Bias Awareness, System Design
- **Posted by employer:** 2026-08-07
- **Added to The Stack:** 2026-08-08
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://careers.trivago.com/apply/8464320002.?gh_jid=8464320002 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/data-scientist-ai-search-ranking-trivago

## About the role

Responsibilities:
- Own end-to-end components of search, retrieval and ranking pipelines from problem framing to production and business impact.
- Build query understanding systems (intent classification, NER, slot filling) across 35+ languages to handle ambiguous user input.
- Design retrieval and ranking layers: candidate generation, neural reranking, vector search, and latency/recall trade-offs.
- Address data bias in behavioral signals, personalise results using session and long-term signals, and balance commercial value with relevance.
- Run experiments (A/B tests), monitor live metrics and iterate to close the gap between offline and online performance.
- Collaborate with engineers, product and analytics to deploy and maintain models at scale under latency constraints.

Requirements:
- 5+ years building and shipping search or recommendation systems in production.
- Strong Python and SQL skills; experience with deep learning frameworks (PyTorch) and HuggingFace/transformers.
- Solid knowledge of IR techniques, learning-to-rank, vector search and multilingual NLP.
- Experience with experimentation (A/B testing), production deployment and measuring business KPIs.
- Familiarity with GCP/Vertex AI, Airflow and system design for low-latency, large-scale services.

## Responsibilities

You will build and optimize search, ranking, and personalization systems to handle complex user intent across 35+ languages. This involves end-to-end ownership of models from problem framing to production deployment and measuring business outcomes.

## Requirements

Candidates must have 5+ years of experience building and shipping search or recommendation systems in production. Proficiency in Python, SQL, and deep learning frameworks like PyTorch is required, along with a strong foundation in experimentation and NLP.

## FAQ

- **Is this Data Scientist - AI Search & Ranking role still open?** It was posted on 2026-08-07. Listings more than 30 days old may no longer be active, so check trivago's site before applying.
- **Does trivago offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on trivago's site.
- **Where is this role located?** The listing gives the location as Germany. It is marked on-site.
- **What skills does this role ask for?** The listing names: Python, SQL, PyTorch, HuggingFace, Machine Learning, Natural Language Processing, Learning-to-Rank, Retrieval Systems, Transformer Models, A/B Testing, Vector Search, GCP, Vertex AI, Airflow, Data Bias Awareness, System Design.

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## Notes for agents

- Apply on the employer's page (https://careers.trivago.com/apply/8464320002.?gh_jid=8464320002). The Stack does not take applications.
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