Job Description

About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Get to Know the Team

In 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 Perform

As 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

Qualifications

What Essential Skills You Will Need

• Education: Master's or Degree with minimum 3+ years of relevant experience in Machine Learning, Statistics, Computer Science, Economics, or Operations Research.
• Technical Depth: Deep understanding of ML/DL foundations, geospatial data mining, and algorithmic optimization. Proficiency in frameworks like TensorFlow or PyTorch Proven experience in the application of Large Language Models
• Programming: Strong proficiency in Python or Scala
• Problem Solving: Proven skill to translate complex business problems (like multi-party dispute arbitration or spatial demand shaping) into scalable math/code solutions.
• Soft Skills: Motivated self learner with communication skill proficiency to articulate technical insights to non-technical stakeholders.

Good-to-have (Preferred but not a must):

• Domain Expertise: Proven experience in ride-hailing, logistics, or large-scale marketplace platforms.
• LLM Proficiency:
  • Hands-on experience building production-grade GAI use cases with fine-tuning LLMs, agentic RAG and LLM Evaluation in PRD
  • Hands-on experience building autonomous agents or multi-agent systems for complex task execution.
• Systems and Scale: Experience with Spark, Flink, or Kafka for large-scale and real-time data processing.
• Engineering Excellence: Familiarity with CI/CD principles and MLOps for data science projects.
• Specialized ML: Background in recommender systems, large-scale forecasting, or combinatorial optimization.

Additional Information

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex, create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
• Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours

What We Stand For At Grab

We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.