Be part of one of Southeast Asia’s most ambitious superapps — a homegrown tech company solving real-world challenges across transportation, food delivery, logistics, fintech, maps, and more. We operate with millions of transactions per day, and we’re now investing heavily in cutting-edge data science to drive our next phase of growth.
If you’re excited to shape applied AI at scale in a rapidly growing ecosystem, this is your moment.

What You’ll Do
You’ll work on high-impact, cross-functional problems that sit at the heart of our superapp ecosystem:

• Model development & deployment: Build and optimize machine learning models for pricing, dispatch optimization, search ranking, recommendations, fraud scoring, and behavioral predictions.
• Full lifecycle ownership: Drive end-to-end solutioning — from understanding the business context to experimentation, deployment, and iteration.
• Smart decisioning systems: Design data-driven frameworks to support real-time decisions and large-scale automation.
• Research and innovation: Investigate state-of-the-art techniques (e.g., reinforcement learning, causal inference, graph ML) and adapt them to real-world production settings.
• Collaborative impact: Partner with product, engineering, operations, and leadership to embed intelligence into every core business process.

Example Problems You’ll Tackle

• How can we dynamically optimize supply-demand matching in real time for ride-hailing and food delivery?
• Can we personalize restaurant or service recommendations in-app within milliseconds at scale?
• What’s the best way to score driver or merchant quality to inform incentives and visibility?
• How can we reduce fraud and fake orders through predictive modeling?
• What signals should we build for map, routing, and ETA improvements across Vietnam?