Data Science Geo Maps - Internship

Job Description:

Job Description

The Data Science (Geo Vision) team improves Grab's maps and builds map-based intelligence (localization, routing, travel-time, traffic forecasting) using computer vision and deep learning on images, video, and GPS signals.
As a Data Science intern, you'll focus on bringing computer vision models to embedded/edge platforms for map creation - learning how perception models are optimized and deployed to run efficiently and in real time on resource-constrained hardware, alongside senior data scientists.
What you'll work on
* Help adapt and improve CV models (detection, segmentation, tracking) to run on resource-constrained edge devices.
* Apply model compression - quantization, pruning, knowledge distillation - to shrink models while preserving accuracy.
* Profile on-device performance (latency, memory, power) and help build efficient inference pipelines.
* Support training and evaluation, and use AI agents/tooling within the team's quality guidelines.
What you'll gain: hands-on experience taking deep learning models to on-device deployment, plus skills in model optimization and real-time edge performance

Candidate Requirements:

Qualifications

* Pursuing or recently completed a degree in Computer Science, Electrical Engineering, or a related field.
* Familiarity with Python and some of: PyTorch/TensorFlow, NumPy, OpenCV, scikit-learn.
* Solid ML and deep learning / computer vision fundamentals.
* Interest in or exposure to embedded systems, edge deployment, or model optimization (quantization, pruning, distillation) - a strong plus.
* Proficiency in English
* Available for the full internship, 8 hours/day, starting July/August (3 months)