Senior Machine Learning Engineer (Mobility) job opportunity at Grab.

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Date2026-03-24T03:38:59.132Z bot
Grab Senior Machine Learning Engineer (Mobility)
Experience: General
Pattern: Full-time
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loacation First Avenue, Petaling Jaya, Malaysia
loacation First Avenue, ..........Malaysia
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Job DescriptionGet to Know the TeamIn the Mobility Data Science team, you are at the core of Grab's founding business. We are responsible for building the high-concurrency AI models that power the ride-hailing experience for millions of passengers. Our mission is to balance a complex two-sided marketplace, driving platform efficiency and user growth through sophisticated geospatial modeling, behavioral economics, and real-time optimization.You will report to our Senior Data Science Manager and based onsite in our office in Petaling Jaya, Selangor. The Critical Tasks You Will PerformAs a Senior Machine Learning Engineer in Mobility, you will build intelligent systems that predict friction, shape urban movement, and use Generative AI to redefine how passengers interact with our transport network.Your key responsibilities are:Strategic Demand Shaping: Architect solutions to balance the network spatially and temporally. This involves steering demand toward higher serviceability areas or shifting passengers between service types (e.g., from JustGrab to GrabShare or Electric Vehicles) to optimize throughput.Demand Generation & Growth: Identify "hidden" mobility patterns—such as commuting shifts, event-based surges, or latent shopping-to-ride needs—to unlock new growth levers for the Mobility vertical.Preemptive Reliability & Dispute Arbitration: Predict friction before the ride even starts. You will develop models to identify high-risk bookings and cancellation probabilities, automating "who is at fault" logic to ensure fair outcomes for both passengers and drivers.Transformative User Experience with GAI: Leverage Generative AI (GAI) to evolve the passenger interface, making the booking and support journey more intuitive and personalized.Build, Iterate, and Deploy: Own the end-to-end lifecycle of ML models, translating tens of millions of passenger interactions into production-grade solutions through rigorous A/B testing and monitoring.Cross-Function Collaboration: Partner with product managers, engineers, analytics, design and operations teams to scale solutions.Innovation: Contribute to team's innovation and IP creation

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