Research Engineer (Machine Learning)
At a glance
Mid-level AI Research role at Ntu. NTU Main Campus · full-time.
Pay not stated Research Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and connect VLMs to simulated and physical robot systems for language-grounded perception and decisions
- Link VLM components with navigation, mapping, localization, planning and control for end-to-end robot operation
- Create simulation setups, multimodal datasets and evaluation methods for data spanning tens to hundreds of gigabytes
- Run GPU-based model training, inference and simulation studies, then turn promising ideas into robot prototypes and demonstrations
- Support researchers and students across projects, and contribute to publications, technical disclosures and patents
What you bring
- A bachelor’s or master’s degree in robotics, computer science, engineering or a related area, or strong robotics experience from another discipline
- Proficiency in Python and experience developing with ROS or ROS2 in Linux environments
- Practical experience on autonomous robotics projects and familiarity with robot simulators and 3D modelling tools
Who this fits
This role suits someone who can work independently and collaboratively on robotics research, while learning unfamiliar tools. The position is based at NTU’s main campus in Singapore.
From the employer
We are seeking a Research Engineer to design, implement, and integrate Visual-Language Models (VLMs) into autonomous mobile robots platform. The role focuses on enabling high-level semantic reasoning, perception–language grounding, and decision-making in robotic systems. The engineer will interface VLMs with navigation, mapping, and control pipelines to support end-to-end system experimentation. Responsibilities include building simulation environments, conducting experimental evaluations, and supporting rapid prototyping. The role contributes to translating simulation-validated methods toward real-world robotic deployment and bridges robotics simulation, multimodal AI, and autonomous navigation research.
Key Responsibilities:
Design, implement, and integrate Visual-Language Models (VLMs) into simulation and robotic platforms to enable semantic reasoning, perception–language grounding, and decision-making.
Interface VLM-based modules with robot navigation, mapping, localization, planning, and control systems to support end-to-end autonomous operation.
Build and maintain simulation environments, multimodal datasets, and evaluation frameworks, handling data volumes from tens to hundreds of gigabytes.
Conduct experimental studies using GPU-enabled computing resources for model training, inference, and simulation-based evaluation.
Support rapid prototyping and iteration of research ideas, from concept to validated robotic systems and demonstrations.
Collaborate with and provide technical support to research staff and students across multiple projects.
Contribute to research outputs, including publications, technical disclosures, patents, and autonomous robot demonstrations.
Apply and recommend engineering best practices that promote reproducibility, maintainability, and research productivity.
Job Requirements:
Bachelor’s or Master’s degree (BEng/BSc/MEng/MSc) in Robotics, Computer Science, Electrical or Mechanical Engineering, or a related discipline; candidates with strong robotics and autonomous systems experience from other disciplines may also be considered.
Proficiency in Python, with experience in ROS/ ROS2 and Linux-based development environments.
Familiarity with robotic simulation platforms and 3D modelling tools.
Hands-on experience in autonomous robotics projects; exposure to deep learning or reinforcement learning is a plus.
Strong problem-solving ability, collaborative and independent work style, willingness to learn new tools.
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTU