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SOFTWARE INTERN, AI and Perception (INTERN) at LionsBot International Pte Ltd
Singapore, , Singapore -
Full Time

Start Date

Immediate

Expiry Date

31 May, 26

Salary

0.0

Posted On

02 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

C++, Python, ROS / ROS2, Linux, AI, Generative Models, World Modeling, Robotics, Perception, Data Mining, 3D Reconstruction, VLM, Camera Calibration

Industry

Automation Machinery Manufacturing

Description
We are looking for interns to join our team and assist on cutting-edge projects in perception, data mining, and 3D reconstruction. Gain hands-on experience with multi-modal datasets, vision-language models (VLM), generative AI, and world models for synthetic data generation. Key Responsibilities * Assist in collecting and organizing multi-modal datasets for AI perception projects. * Support automated data mining using vision-language models (VLM) and help generate synthetic training data with world models. * Help benchmark and evaluate AI models, and assist with camera calibration and post-processing. * Contribute to semantic 3D reconstruction experiments, preparing data and analyzing results. * Work closely with engineers and researchers to support model integration and validation in real-world scenarios. Qualifications & Experience * Current undergraduate or master’s student in AI, Robotics, Computer Vision, Computer Science, or a related course. * Strong programming skills in C++ and Python. * Familiarity with ROS / ROS2 and working knowledge of development on Linux. * Passionate in AI, generative models, world modeling, and real-world robotics applications. * Curiosity, eagerness to learn, and ability to work in a team. If you are excited to push the boundaries of AI and robotics, eager to learn, and ready to contribute to cutting-edge innovations, we invite you to join LionsBot and be part of shaping the future of robotics innovation.
Responsibilities
Interns will assist with collecting and organizing multi-modal datasets, supporting automated data mining using vision-language models, and generating synthetic training data with world models. Responsibilities also include benchmarking AI models, assisting with camera calibration, and contributing to semantic 3D reconstruction experiments.