Global Multi-Lingual Search & Recommendation Architect

JonDavidson Pte Ltd; Singapore; Sur place; SGD 120 000 - 190 000; Plein temps

Résumé du poste

JonDavidson Pte Ltd is seeking an Algorithm Engineer to drive end-to-end R&D and system architecture for an overseas AIOS platform. You will build high-precision, multi-lingual search and recommendation systems for global households, leveraging large-scale online systems and joint search-recommendation modeling.

The role focuses on full-link search development, personalized recommendations, and unified architecture integrations across real-time and offline pipelines.

Qualifications

• Bachelor’s degree or higher in Computer Science, Mathematics, Software Engineering, or related fields.
• 5+ years of R&D experience in Search, Recommendation, or NLP algorithms deployed in large-scale online systems.
• Strong foundation in deep learning models and multi-objective ranking methodologies.

Responsabilités

• Full-Link Search Development: design and iterate search algorithms including intent understanding, multi-lingual query parsing, and ranking.
• Personalized Recommendation Systems: build dual-layer user profiling and models across recall, coarse and fine ranking.
• Unified Architecture Integration: lead architecture evolution to unite real-time recommendation and search.
• Global Multi-lingual & Vector Search: optimize cross-lingual retrieval and vector embeddings for voice/text search.
• Data Closed-Loop & Experiments: build data loops and run A/B tests to validate strategies.

Connaissances

Two-Tower Recall

DeepFM

Wide & Deep

DIN

Multi-Objective Ranking

Formation

Bachelor's degree or higher (Master’s preferred) in CS/Math/SE

Outils

Python

PyTorch

TensorFlow

Elasticsearch

Faiss

Milvus

Flink

Spark

Description du poste

JonDavidson Pte Ltd is seeking an Algorithm Engineer to drive end-to-end R&D and system architecture for an overseas AIOS platform. You will build high-precision, multi-lingual search and recommendation systems for global households, leveraging large-scale online systems and joint search-recommendation modeling.

The role focuses on full-link search development, personalized recommendations, and unified architecture integrations across real-time and offline pipelines.