Principal Machine Learning Engineer, AI Platform – AI Infrastructure

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

The AI Platform team empowers Grab teams to leverage advanced AI seamlessly and effectively. We're building cutting-edge tools and infrastructure to democratize AI capabilities, accelerate innovation, and enhance Grab's products and services at scale.

Get to Know the Role

As a Principal Machine Learning Engineer focused on AI Infrastructure , you will shape the backbone of Grab's AI ecosystem. You will design and evolve scalable platforms for model training, serving, and evaluation—anchored on technologies like Ray and Kubernetes —that enable thousands of engineers and data scientists to innovate safely and efficiently. Your role is pivotal in ensuring Grab's AI foundation is cost-efficient, resilient, and future-ready.

You will report to the Head of Engineering.

This role will be onsite at Grab office.

The Critical Tasks You Will Perform

• Independently Lead and Execute Demonstrate strength as a technical lead by taking full responsibility for projects conception, planning and execution.
• Architect the Future of AI Infrastructure Design and scale the next generation of distributed systems for model training, inference, and experimentation on Kubernetes and Ray.
• Build Platforms for Scale Develop core abstractions, APIs, and services that make AI experimentation, deployment, and monitoring seamless across Grab.
• Enable Cost-Efficient AI at Scale Drive initiatives to optimize GPU / CPU utilization, storage, and networking for large-scale AI workloads, driving significant efficiency gains.
• Integrate Research with Production Systems Translate cutting-edge distributed training, scheduling, and serving techniques into production-ready systems that can handle Grab's scale.
• Influence AI Platform Strategy Partner with engineering and product leadership to set direction for Grab's AI infrastructure roadmap, balancing long-term vision with practical execution.
• Mentor and Inspire Provide deep technical mentorship, foster platform-thinking, and cultivate a culture of excellence across engineering and research teams.

What Essential Skills You Will Need

6+ years of experience building large-scale AI / ML or distributed systems infrastructure.

Hands-on experience with Ray (Ray Train, Ray Serve, Ray Tune) and distributed data processing frameworks (e.g., Dask, Spark).

Experience designing and delivering developer platforms that abstract away complexity while ensuring scale.

Experience running large-scale AI / ML workloads on cloud infrastructure (AWS / GCP / Azure).

Proficiency in Python and one or more system-level languages (e.g., Go, Rust, C++).

Strategic AI Infrastructure Leadership : Develops roadmaps that align AI infrastructure with core business priorities.

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 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.

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