Senior Localization Engineer / Research Engineer, Robotics AI (Visual Navigation)

📋 Description

• Design and implement novel deep learning models for visual navigation, Vision-Language Navigation
• Develop and evaluate multimodal perception pipelines combining RGB, depth, semantic segmentation
• Research robust scene understanding techniques for dynamic urban environments: pedestrian-dense
• Investigate end-to-end learning approaches and modular architectures for navigation policy
• Publish and engage with the research community; contribute findings back to internal and
• Implement and adapt state-of-the-art VLN and visual navigation algorithms (e.g., R2R, REVERIE

🎯 Requirements

• PhD in Computer Science, Robotics, AI, Computer Vision, or a closely related field
• Strong publication record or demonstrable research contributions in Visual Navigation
• Proficiency in at least two of: Vision-Language Navigation (VLN benchmarks R2R, REVERIE, SOON
• Proficient in Python and PyTorch (or JAX/TensorFlow); experience with ROS/ROS 2 for robot
• Ability to design, execute, and critically evaluate experiments; strong written communication for
• Good to have: Experience deploying learned navigation models on physical robot platforms

🎁 Benefits

• Term Life Insurance and comprehensive Medical Insurance
• GrabFlex: create a benefits package that suits your needs and aspirations
• Parental and Birthday leave
• Love-all-Serve-all (LASA) volunteering leave
• Confidential Grabber Assistance Programme