Research Engineer (Machine Learning)

ntu; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

NTU in Singapore seeks a Research Engineer to design, implement, and integrate Visual-Language Models into autonomous mobile robots. You will enable semantic reasoning, perception-language grounding, and decision-making within navigation and control pipelines.

You will build simulations, run experimental evaluations, and support rapid prototyping, translating simulation results toward real-world deployment while bridging multimodal AI, robotics, and autonomous navigation research.

Qualifications

• Bachelor's or Master's degree in Robotics, Computer Science, Electrical or Mechanical Engineering.
• Proficiency in Python and ROS/ROS2; Linux-based development environments.
• Experience with robotic simulation platforms and 3D modelling tools.
• Hands-on autonomous robotics project experience; exposure to DL or RL is a plus.
• Strong problem-solving, collaborative, and independent work style.

Responsibilities

• Design and integrate Visual-Language Models into simulation and robotic platforms.
• Interface VLM modules with navigation, mapping, and control systems.
• Build and maintain simulation environments and evaluation frameworks.
• Conduct GPU-enabled training, inference, and simulation studies.
• Support rapid prototyping from concept to demonstrable robotic systems.
• Collaborate with research staff and students across projects.
• Contribute to publications, disclosures, patents, and demos.
• Promote reproducible engineering practices.

Skills

Python

Deep learning

Reinforcement learning

Problem-solving

Collaboration

Autonomy

Education

Bachelor's or Master's in Robotics, CS, EE or ME

Tools

ROS/ROS2

Linux

3D Modelling Tools

GPU Computing

Job description

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