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 Fulfillment tech family is one of the pillars ensuring Grab to out-serve our customers and partners in different businesses and marketplaces across Southeast Asia. We are working on high throughput, real-time distributed systems that use machine learning techniques to solve hundreds of millions of requests per day. We are a distributed team in 4 locations: Singapore, Beijing, Indonesia, and Malaysia in a hybrid work setting.

Our mission is to offer the best products and experiences to our driver partners as to increase adoption and engagement of our services. Improve driver partner opportunities and efficiency to fulfill customer orders without fail, rain or shine. And to create efficient marketplaces by determining a price that is both sustainable and loved by our partners and customers.

Get to Know the Role 

The Senior Machine Learning Engineer position is a very rewarding role where every code that you string, every model you build, push out and implement instantly impacts millions of people across Southeast Asia. Reporting to our Lead Machine Learning Engineer, you will bring experiences in big data processing, data analytics, and machine learning to work on our massive production scale, and also experience an elegant products running on world-class technologies that bring our unique On-Demand Transport and Delivery experience to millions of people, anytime and anywhere.

This role is onsite based in our Petaling Jaya, Malaysia office.

The Critical Tasks You Will Perform

• You will understand business problems and convert them to ML problem space. Work with the business teams to understand workflows and requirements, and analyze data to identify patterns, trends, and anomalies that can inform automation projects and provide insights to stakeholders.
• You will collaborate with the Data Science and Software Engineering teams to identify areas of automation and optimization within our systems, with a focus on operational efficiency and reducing manual interventions.
• You will design, develop, and implement automation solutions that improve the efficiency of different processes, using your expertise in data analysis, machine learning, and engineering knowledge.
• You will lead automation projects aimed at complex system fine-tuning with real market change, applying data-driven techniques to bring growth in the automated system.
• You will use machine learning techniques to improve automation resilience and improve system performance.
• You will work with stakeholders to define project goals and deliverables, ensuring that the automation projects align with the goals.

What Essential Skills You Will Need

• At least 3 years of experience in software engineering or data science, and experience in writing production code.
• Proficiency in SQL, Python and at least one backend language like Go, Scala, Java, C++, or others.
• Proficiency in data processing frameworks such as Spark or Flink.
• Proficiency in ML and DL frameworks such as XGBoost or Pytorch.
• Experience in ETL pipelines for data processing, model training and serving.
• Understanding of optimization concepts and techniques, with experience in applying optimization methods to improve system performance.
• Experience with large-scale systems and DevOps best practices such as CI/CD.

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.
• Balancing personal commitments and life's 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.