Senior Machine Learning Engineer (ACE)

Grab · Petaling Jaya

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Company 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.

Job Description

Get to Know the Team

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:

Your key responsibilities are:

Qualifications

What Essential Skills You Will Need

Additional Information

Life at Grab

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

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.

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