
Job description
Join our Search and Recommendations team to design and build machine learning systems that power search ranking and personalized recommendations at scale. You will work onsite at Grab One North Singapore office and report into the Senior Data Science Manager.
Design and implement deep learning algorithms for search ranking, session-based recommendations, and multi-objective personalization systems. Fine-tune and deploy Large Language Models (LLMs) to improve search query understanding and recommendation relevance.
To perform the tasks above, you will need a Master's in Computer Science, Operations Research, Statistics, or equivalent quantitative field, or equivalent practical experience building production ML systems at scale. You will also need at least 3 years of experience building and deploying deep learning models for search, recommendation systems, or NLP applications in production environments.
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Company

Tech, Software & IT Services • Transportation & Logistics • Finance
Grab is Southeast Asia’s leading superapp that integrates delivery, mobility, payments, and fintech services into a single mobile platform. The company leverages advanced technology and a network of local partners to provide on-demand logistics, transportation, and digital banking solutions across the region. Its core value proposition is economic empowerment, enabling individuals and businesses to access reliable services that boost productivity and financial inclusion. Grab’s culture is guided by The Grab Way and the 4Hs—heart, hunger, honour, humility—ensuring community focus, continuous improvement, trust, and learning. Together, these principles help Grab stay at the forefront of the digital economy while fostering a collaborative, one-team mindset.