Senior Machine Learning Engineer (ACE)

Get to Know the Team

In the ACE (Online Deliveries Omni-commerce) Data Science team you are at the core of Grabs 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 Googles 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 teams innovation and IP creation

Qualifications :

What Essential Skills You Will Need

• Education: Bachelors Degree with 4 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: Translate complex business problems (like multi-party dispute arbitration or spatial demand shaping) into scalable math/code solutions.
• Soft Skills: Motivated to learn and is able communicate by articulating technical insights to non-technical stakeholders.

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 lifes challenges.
• Balancing personal commitments and lifes 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.

Remote Work :

No

Employment Type :

Full-time