Senior Principal Data Scientist (Fulfilment)
Core
Lead the shift toward automated marketplace optimization by building autonomous, learning-driven systems for pricing, dispatch, and supply management.
Role type
Senior Principal individual contributor data scientist (RL & LLM)
Builds
Real-time distributed systems and ML solutions processing hundreds of millions of requests daily for Grab's Southeast Asia marketplaces.
Domain
Marketplace optimization, Reinforcement Learning, Large Language Models
Deliverable
production ML models
Required skills
PhD in CS/OR/Applied Math, Reinforcement Learning fundamentals, Production ML/RL system development, World models and sequential modelling, LLM fine-tuning and alignment, Generative model evaluation, Distributed training frameworks, Python and ML frameworks, Scalable computing platforms
Preferred skills
None stated
Technologies
PyTorch, TensorFlow, DeepSpeed, FSDP, Megatron-LM, Spark, Ray
Responsibilities
Design and implement end-to-end RL systems combining model-based RL, offline RL, simulation, and online learning; Build latent world models and marketplace state representations; Develop systems optimizing pricing, dispatching, and supply repositioning; Create policy evaluation frameworks and monitoring systems; Fine-tune open-source LLMs for prediction, reasoning, and simulation; Design training strategies for language models; Integrate RL and LLM systems into real-time production environments.
Seniority
Senior Principal, hands-on IC with technical lead responsibilities
