About the Role
Grab’s Data Science Department tackles challenging problems in transport, economics, logistics, and related fields. They apply machine learning, simulation, forecasting, scheduling, optimization, and other advanced techniques to extensive datasets to enhance business metrics. The team fosters a culture of continuous improvement and encourages exploration and innovation.
Responsibilities
- Work on a wide range of problems from building Machine Learning / Deep Learning models to developing full-scale production systems.
- Train and predict using Grab’s large-scale unique datasets, leveraging its position as South-East Asia’s leading Super App.
- Build, deploy, maintain, and optimize machine learning-based solutions, including computer vision and search-related applications.
- Analyze data and define metrics for feature evaluation and model performance.
- Design and implement robust data pipelines.
- Identify and build new approaches and methods for machine learning as the company grows.
Requirements
- Bachelor/Master/PhD Degree in Computer Science, Math, EE or a similar field.
- Minimum 3 years of experience as a software engineer writing production code.
- Solid software engineering and coding skills. In addition to Python, experience in at least one backend language like Go, Scala, Java, C++ is required.
- Solid understanding of Machine Learning / Deep Learning and existing frameworks such as Tensorflow and PyTorch.
- Experience with Computer Vision is a plus.
- Experience with cloud-based big data and machine learning services is a plus.
- Self-motivated, curious, team-player, and problem solver.
- Detail-oriented and focused in a dynamic and fast-paced working environment.