Senior Principal Machine Learning Engineer (Fulfilment)

Get to Know the Team

The Fulfilment Tech Family builds distributed systems and machine learning platforms that power Grab's multi-sided marketplace across Southeast Asia. We process hundreds of millions of real-time requests each day to manage supply allocation, dispatch, order matching, and dynamic pricing across mobility and deliveries. Our mission is to balance customer reliability, driver-partner earnings, and operational efficiency under volatile real-world conditions. We foster a collaborative, research-to-production culture focused on scalable algorithmic impact.

Get to Know the Role

As Senior Principal Data Scientist, you will be the senior individual contributor lead architecting Grab's next generation of autonomous marketplace decisioning systems. Working at the intersection of reinforcement learning, latent world models, and generative AI, you will guide technical strategy and translate research into production systems serving millions of users. You will be the technical lead for a specialised team of scientists and engineers, reporting directly to the Head of Data Science. You will also based full-time onsite at Grab's Beijing office. If you are passionate about pioneering real-time, learning-driven marketplace systems at massive scale, join us!

The Critical Tasks You Will Perform

• You will architect and implement end-to-end reinforcement learning pipelines (offline RL, model-based RL, and simulation) to jointly automate pricing, dispatch, and supply repositioning decisions.
• You will design latent world models and spatio-temporal marketplace state representations that capture complex supply-demand interactions and multi-temporal levers.
• You will establish formal off-policy evaluation (OPE) frameworks, conservative value estimation baselines, and safety guardrails to de-risk live deployment in production.
• You will build behavioural simulation systems using fine-tuned open-source large language models (LLMs) to forecast and simulate user and partner decision dynamics.
• You will partner with backend, streaming, and platform engineering teams to deploy low-latency, closed-loop decision agents into high-throughput production environments.
• You will leverage modern Generative AI development tools and AI-assisted workflows to accelerate prototyping, code quality, testing, and technical documentation across the team.

Function: Information Technology
Experience Level: Director