Global Search & Recommendation Engineer

JonDavidson Pte Ltd; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

JonDavidson Pte Ltd seeks an experienced Search & Recommendation Algorithm Engineer to drive end-to-end R&D and system architecture for an overseas AIOS platform. You will design high-precision, multilingual search and recommendation systems for global household users, leveraging large-scale online systems and advanced ML models.

The role requires deep expertise in deep learning models, vector databases, and end-to-end data loops with A/B experimentation to validate strategies and iterate

Qualifications

• 5+ years of R&D experience in Search, Recommendation, or NLP algorithms deployed in large-scale online systems.
• Strong foundation in deep learning models such as Two-Tower Recall, DeepFM, Wide&Deep, DIN, and Multi-Objective Ranking.
• Proficient in Python and at least one framework (PyTorch or TensorFlow).
• Experience with search engines and vector databases (Elasticsearch, Faiss, Milvus).
• Solid experience in feature engineering, user behavior sequence modeling, and real-time/offline computing frameworks (Flink / Spark).
• Familiarity with evaluation metrics (CTR, CVR, Recall, NDCG) and A/B experimentation methodologies.

Responsibilities

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

Skills

Full-Link Search

Multi-lingual query processing

Vector embeddings

A/B testing

Data pipelines

Education

Bachelor's degree or higher (Master’s preferred)

Tools

Python

PyTorch

TensorFlow

Elasticsearch

Faiss

Milvus

Flink

Spark

Job description

JonDavidson Pte Ltd seeks an experienced Search & Recommendation Algorithm Engineer to drive end-to-end R&D and system architecture for an overseas AIOS platform. You will design high-precision, multilingual search and recommendation systems for global household users, leveraging large-scale online systems and advanced ML models.

The role requires deep expertise in deep learning models, vector databases, and end-to-end data loops with A/B experimentation to validate strategies and iterate