This is an applied research and machine learning engineering role aimed at developing foundation model solutions for Grab's massive marketplace. As a Lead Machine Learning Engineer (based onsite in our Singapore One-North headquarters, reporting to the Senior Machine Learning Engineering Manager), you will own the end-to-end lifecycle of our proprietary foundation models and generative recommenders. You will bridge the gap between modern ML research and optimised, large-scale distributed training infrastructure. You will build architectures that unify search, retrieval, and ranking to power decisions for millions of users daily.

• Architect Pre-training Pipelines: Design, implement, and orchestrate efficient, scalable pre-training pipelines for large language and multimodal foundation models, from raw data curation and tokenization through to converged checkpoints.
• Build Distrib...