Fine-tuning Large Language Models jobs

Senior Machine Learning Engineer (Fulfilment)

Grab · Posted Nov 10, 2026

Singapore, Singapore
Senior
10+ years

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Lead the design and implementation of reinforcement learning and large language model systems for Grab's marketplace optimization, serving as a technical lead for a small team and reporting to the Head of Data Science.

Responsibilities

Design and implement end-to-end RL systems that combine model-based RL, offline RL, simulation, and online learning into a unified training pipeline.
Build latent world models and marketplace state representations that capture supply-demand interactions, location-based patterns, and behavioural signals from users and drivers.
Develop systems that optimize across multiple marketplace levers simultaneously—pricing, dispatching, and supply repositioning.
Create policy evaluation frameworks and establish monitoring systems that allow safe deployment of new decision-making policies in production.
Fine-tune open-source large language models on domain-specific data to build capabilities for prediction, reasoning, and simulation within marketplace applications.

Requirements

PhD in Computer Science, Operations Research, Applied Mathematics, or related field

Skills

Reinforcement Learning fundamentals Markov Decision Processes stochastic control

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Senior Machine Learning Engineer (Fulfilment)

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