Senior Machine Learning Engineer (Deliveries & ACE)

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 ACE (Online Deliveries, Omnicommerce) 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.

Get to know the role:

As a Senior Data Scientist, 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. Your key responsibilities are:

• Strategic Demand Shaping: Architect solutions that steer demand toward higher serviceability. This includes shaping demand spatially and temporally (e.g., shifting users from On-Demand to Scheduled Orders) to optimize network throughput.

• 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.

• 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.

What Essential Skills You Will Need

• Education: Ph.D. graduate, or Master’s Degree with 3+ years of relevant experience in Machine Learning, Statistics, Computer Science, Economics, or Operations Research.

• Technical Depth: Deep understanding of ML/DL foundations, optimization algorithms, and data mining. 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 ability to translate complex business problems (like multi-party dispute arbitration or spatial demand shaping) into scalable math/code solutions.

• Soft Skills: Self-motivated learner with excellent communication skills to articulate technical insights to non-technical stakeholders.

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.

What we stand for at Grab

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