Lead ML Engineer — Foundation Models & Recommenders

GRABTAXI HOLDINGS PTE. LTD.; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Grab is seeking a Lead Machine Learning Engineer to own end-to-end foundation models and generative recommenders for a massive marketplace. You will bridge modern ML research with scalable training infrastructure, unifying search, retrieval, and ranking for millions of users daily.

This onsite role at our Singapore One-North headquarters reports to the Senior ML Engineering Manager. Expect to lead pipelines, distributed systems, and architecture optimization while mentoring engineers and

Qualifications

• 8+ years of professional ML experience, with focus on deep learning and transformer architectures.
• Experience in end-to-end ML lifecycle from pre-training to deployment.

Responsibilities

• Architect pre-training pipelines for large language and multimodal models.
• Build and operate large-scale distributed training across multi-node GPU clusters.
• Design generative recommender systems and post-training loops (SFT, distillation, RL).
• Optimize transformer architectures including MoE, long-context attention, tokenization strategies.
• Lead code/design reviews and mentor junior engineers to ensure production-grade code.

Skills

Deep learning

Transformer models

Python

C++

Distributed systems

MLOps

PyTorch FSDP

DeepSpeed

Megatron-LM

RLHF

LoRA

Tools

PyTorch

DeepSpeed

Megatron-LM

Ray

Job description

Grab is seeking a Lead Machine Learning Engineer to own end-to-end foundation models and generative recommenders for a massive marketplace. You will bridge modern ML research with scalable training infrastructure, unifying search, retrieval, and ranking for millions of users daily.

This onsite role at our Singapore One-North headquarters reports to the Senior ML Engineering Manager. Expect to lead pipelines, distributed systems, and architecture optimization while mentoring engineers and