Job description preview
From Grab’s original posting
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 Scientist, you'll focus on bringing computer vision models to embedded/edge platforms for map creation. You will be working onsite and reporting to the Head of Data Science based in Cluj. 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. Qualifications: • Pursuing or recently completed a degree in Computer Science, Electrical Engineering, or a related field. • Familiarity with Python…
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