Senior Machine Learning Engineer (ACE)
In the ACE (Online Deliveries, Omni-commerce) Data Science team, you are at the core of Grab's largest business pillars. We build and deploy AI/ML models to power seamless user experiences across the food ecosystem — from instant deliveries to restaurant reservations. Our mission is to enhance user satisfaction and platform efficiency by solving unique challenges in geospatial demand, proactive reliability, and transformative AI-driven discovery.
You will report to our Senior Data Science Manager and based onsite in our office in Petaling Jaya, Selangor.
Get to Know the Role
As a Senior Machine Learning Engineer, you will lead the development of intelligent systems that shape how millions of users interact with Grab. You will move beyond basic forecasting to build proactive, "self-healing" reliability systems and leverage Generative AI to redefine the user experience.
The Critical Tasks You Will Perform
You will be working on machine learning engineering projects on one or a few areas below:
- Strategic Demand Shaping: Architect solutions that steer demand toward higher serviceability. You will design spatial and temporal nudges — such as shifting users from on-demand to scheduled delivery models or redirecting orders from supply-constrained to under-utilized merchants — to maximize network throughput and balance platform capacity in real time.
- Grab Content Enrichment: Transform "thin" or unstructured data into rich, machine-readable metadata. You will build systems that power new in-app discoveries and serve external AI demands (e.g., ChatGPT or Google's AI search).
- Demand Generation & Growth: Identify "hidden" customer patterns across food and dining to unlock new demand for ACE.
- Reliability & Dispute Arbitration: Predict friction before it happens. You will develop models to identify order risks and cancellation probabilities, automating "who is at fault" logic and facilitating proactive interventions to maintain platform trust.
- Transformative GAI Experience: Lead the integration of Generative AI (GAI) to fundamentally evolve the current user journey and interface.
Your key responsibilities are:
- Extract Insights: Analyze massive datasets (transactional, behavioral, and geospatial) to decode food ordering patterns and optimize the end-to-end journey for food ordering journey.
- Build, Iterate, and Deploy: Own the end-to-end lifecycle of ML models, translating tens of millions of eaters 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