Job
In this role, you will develop the recommendation engine for ABOUT YOU's homepage using Node.js and TypeScript, implement ML models, personalize logic, and build GenAI features focusing on low latency and high performance.
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Job technologies
Your role in the team
- Develop the recommendation engine powering ABOUT YOU's homepage, product, and outfit pages in Node.js/TypeScript.
- Serve offline-trained ML models (matrix factorization, brand similarity, image embeddings) at Black-Friday scale from Valkey, DynamoDB, and OpenSearch.
- Design personalization logic: feed assembly, fallback chains, deduplication, diversity, and A/B experimentation.
- Build GenAI product features like our streaming Gemini fashion advisor, focusing on low latency, session state, and token cost control.
- Own reverse-ETL pipelines that move BigQuery model outputs into high-performance hot stores.
- Instrument recommendation coverage, track business metrics via SQS/BI systems, and shape architecture alongside our Tech Lead.
Our expectations of you
Qualifications
- You take end-to-end responsibility for our recommendation engine and love seeing your changes directly impact customer engagement.
- Real depth in Redis/Valkey data modeling, caching hierarchies (multi-tier, TTLs/invalidation), and binary payloads (Protobuf/Avro).
- High-throughput mindset: comfortable operating APIs that scale to 10k+ rps under strict latency SLOs.
- You're excited to bridge backend engineering and ML by serving model scores, embeddings, or LLM features in live systems.
- Klare Kommunikationsfähigkeiten in Englisch und eine datengesteuerte, experimentierfreudige Denkweise.
Experience
- 3+ years of experience building high-throughput backend services (Node.js/TypeScript preferred, or fast-converting from Java, Go, or Kotlin).
What we offer
- € 60,000-70,000 per year.
Benefits
Work-Life-Integration
Health, fitness & fun
Food & drink
Topics you will work on
Job locations
About your employer
As a rapidly growing online fashion retailer in Europe, ABOUT YOU has won multiple awards. As a fashion company and technology company, we work together to make the shopping experience more inspiring and personal for our customers.
- English
- Established Company
- Onsite, Hybrid, Full Remote
- Trade · Internet, IT, Telecommunication
Employer reviews
- Working conditions
- 4.0
- Career growth
- 3.7
- Team culture
- 3.5
- Engineering
- 3.6
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