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Entry LevelFull-timeMachine LearningData Science
Salary Range
$16,320 - $22,080 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
The Fulfilment Interface Data Science team predicts the estimated time of arrival (ETA) and optimizes the ETA quotation to balance accuracy, system efficiency, and marketplace throughput. We are looking for a Machine Learning Engineer to build DNN models that predict ETA for Food orders and Transport bookings accurately under uncertainty.
Key Responsibilities
- →Develop innovative Machine Learning or Deep Learning models to predict the ETA of food orders accurately
- →Build Optimization models to balance ETA accuracy and system efficiency
- →Establish pipelines to automate model retraining and parameter tuning
- →Build dashboards to monitor model accuracy and service health
- →Create technical documents outlining methodologies and findings
- →Present solutions and explain complex concepts to non-technical stakeholders
- →Collaborate with Product Analytics and Product Managers to conduct A/B experiments and data analysis
Requirements
- ✓Experience with Machine Learning and Deep Learning
- ✓Knowledge of DNN models and optimization techniques
- ✓Ability to develop and maintain automated model retraining pipelines
- ✓Skills in building dashboards for performance monitoring
- ✓Strong technical documentation and presentation skills
- ✓Experience with A/B testing and data analysis
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About Grab
Grab is a leading technology company operating in the transportation and financial services sector, providing innovative solutions across Southeast Asia. Founded in 2012 and headquartered in Singapore, Grab has rapidly expanded its footprint across the region, offering a wide range of services designed to simplify daily life for millions of users. The company leverages technology to connect people with essential services, from ride-hailing and food delivery to digital payments and insurance, making it a cornerstone of modern urban living in the markets it serves. Grab’s core offerings include ride-hailing services through its mobile app, which allows users to book rides with just a few taps, as well as GrabFood, a popular food delivery platform that partners with local restaurants to bring meals directly to customers. The company also provides financial services such as GrabPay, a digital wallet that enables seamless transactions, and GrabInsurance, offering convenient coverage options. These services are tailored to meet the needs of both consumers and businesses, particularly in densely populated urban areas where efficiency and reliability are paramount. Over the years, Grab has established itself as a dominant player in the region, serving over 125 million registered users across 14 countries. The company’s ability to integrate multiple services into a single platform has set it apart from competitors, creating a loyal ecosystem of users and partners. By prioritizing user experience, safety, and innovation, Grab continues to redefine convenience in Southeast Asia, solidifying its position as a trusted and indispensable service provider.
