Machine Learning Engineer

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

The mission of the ML Pipeline team at Grab is to empower machine learning engineers, data scientists, data analysts, and data engineers to test-and-learn their ideas and productionise them at scale. The team develops tools, systems and automation to increase productivity throughout the ML and AI development lifecycle.

Get to Know the Role 

You will report to the Head of Engineering, Machine Learning and Experimentation Platforms, and contribute to the design, implementation, and rollout of cutting-edge ML&AI platforms for large-scale workloads at Grab.

This is a hybrid role and the office is in Petaling Jaya.

The Critical Tasks You Will Perform

• You will write production-grade code, at scale
• You will develop platform applications from infrastructure to frontend in full stack
• You will set and define standards for complex pipelines including data engineering, feature engineering, model training, model quality verification, model deployment, etc.
• You will automate cloud infrastructure provisioning and deployments of ML pipelines

Qualifications

What Essential Skills You Will Need

• Bachelor's degree in Computer Science, Computer Engineering, Artificial Intelligence or any related field
• Proficient in at least one programming language such as Golang, Python, Scala, or Java
• Knowledge of ML frameworks such as TensorFlow, PyTorch, Spark, etc
• Basic understanding of distributed systems, cloud platforms (specifically, AWS), and containerization technologies like Kubernetes
• Knowledge of the machine learning lifecycle, including feature engineering, model training, validation, deployment, A/B testing, monitoring, and retraining
• Internship or project experience in machine learning, GenAI or related fields is a plus
• Strong analytical, critical thinking, and communication skills

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.

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.