Life at Grab

At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.

Get to know the Team

The SNP Data Science Search and Ranking team is a longstanding team responsible for Grab Food and Mart Search and Ranking experiences. We make an impact by developing the state-of-the-art Deep Learning models to create better user experiences. Our team is made up of enthusiastic Data Scientists with various backgrounds. If you are looking for an opportunity for Search and Ranking, you should join our team!

Get to know the Role

• Develop creative and highly scalable machine learning algorithms to solve problems in Search, Natural Language Processing and/or Computer Vision domains that is critical to Grab’s business

• Drive product improvements and roll-out of new features with state-of-the-art algorithms

The Day-to-Day Activities

• Deep dive into the big datasets and prepare them for model building and training

• Design and build efficient and scalable deep learning and machine learning algorithms

• Evaluate the performance of the algorithms on image and/or text datasets

• Deployment of solutions to production platforms

• Contribute to team’s innovation and IP creation

• Keep up with the latest literature in Search, Natural Language Processing and/or Computer Vision

• Collaborate with other data scientists, software engineers, and business operation teams

The Must-Haves

• Ph.D. or Master graduate in Computer Science, Electrical/Computer Engineering, Operations Research, or related technical disciplines

• Solid background in deep learning for Search, Natural Language Processing and/or Computer Vision

• Familiar with mainstream deep learning programming frameworks (e.g. TensorFlow, PyTorch)

• Excellent software development capabilities, preferably in Python/Scala/C++ with good programming style and work habits; knowledge of GoLang would be an advantage

• Self-motivated and independent learner who is willing to share knowledge with the team

• Detail-oriented and effective time management, who thrives in a dynamic and fast-paced working environment

The Nice-to-Haves

• Experience in working with food, delivery, and e-commerce data and use cases

• Knowledge of model compression techniques

• Experience with one or more big data processing frameworks such as Spark

• Experience in parallel programming and multithreading

• Knowledge in code optimization techniques

Our Commitment

We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique.