Senior Localization Engineer / Research Engineer, Robotics AI (Visual Navigation)
Core
Advance visual navigation and Vision-Language Navigation (VLN) capabilities for autonomous delivery robots in complex urban environments.
Role type
Senior Research Engineer (Robotics AI / Visual Navigation)
Builds
Autonomous delivery fleet navigation systems for last-mile logistics in Southeast Asia
Domain
Robotics, Embodied AI, Computer Vision, Urban Logistics
Deliverable
production ML models
Required skills
Deep learning for perception (CNNs, Transformers, ViT, CLIP), Visual Navigation & VLN (R2R, REVERIE, EmbodiedBERT), Reinforcement Learning for navigation, Python, PyTorch, ROS/ROS 2
Preferred skills
LiDAR-visual fusion, Large-scale VLMs for robotic instruction following, Physical robot platform deployment experience
Technologies
PyTorch, JAX, TensorFlow, ROS, ROS 2, ViT, CLIP, LLaVA
Responsibilities
Design and implement novel deep learning models for visual navigation and VLN; Develop multimodal perception pipelines combining RGB, depth, and semantic segmentation; Build performance evaluation frameworks for outdoor delivery scenarios; Drive closed-loop dataset collection and annotation pipelines; Collaborate with Perception and Planning/Control teams to integrate navigation outputs.
Seniority
Senior, hands-on IC with research leadership
