Autonomy Vision Research Engineer

Grab; Singapore; Vor Ort; SGD 90.000 - 140.000; Vollzeit

Benefits dieser Stelle

Term Life Insurance

Medical Insurance

GrabFlex benefits

Parental Leave

LASA volunteering leave

Grabber Assistance Programme

Zusammenfassung

Grab is seeking a Research Engineer on the Spatial Intelligence team to advance core vision-based navigation for autonomous platforms deployed in last-mile delivery across Southeast Asia. You will bridge state-of-the-art VLN and multimodal perception research with production-grade deployment, collaborating with hardware, perception and control teams.

Based in Singapore, you will lead end-to-end research from perception to navigation policy, report to the Head of Engineering, and contribute to

Qualifikationen

• PhD in Computer Science, Robotics, AI, Computer Vision or closely related field.
• Strong publication record or demonstrable research contributions in VLN, embodied AI, or robot perception.
• Experience with at least two of the listed technical areas and a track record of rigorous experimentation.

Aufgaben

• Develop and advance visual navigation and VLN capabilities on autonomous platforms.
• Bridge research with production deployment alongside systems engineers.
• Publish findings and contribute to internal/open-source repositories.
• Collaborate with perception and planning/control teams to integrate outputs into the autonomy stack.
• Lead dataset collection, annotation, and iteration to improve models.

Kenntnisse

VLN (Vision-Language Navigation)

Visual Place Recognition

Deep learning for perception

Reinforcement Learning for navigation

Python & PyTorch

ROS/ROS 2

Ausbildung

PhD in Computer Science, Robotics, AI, CV

Tools

PyTorch

ROS/ROS 2

Jobbeschreibung

Grab is seeking a Research Engineer on the Spatial Intelligence team to advance core vision-based navigation for autonomous platforms deployed in last-mile delivery across Southeast Asia. You will bridge state-of-the-art VLN and multimodal perception research with production-grade deployment, collaborating with hardware, perception and control teams.

Based in Singapore, you will lead end-to-end research from perception to navigation policy, report to the Head of Engineering, and contribute to