NT

Research Engineer (Machine Learning)

ntu
CompanyNTU Main Campus, SingaporeOnsitePosted 2 weeks ago

About the role

Research Engineer (Machine Learning) is a active engineering role at ntu in NTU Main Campus, Singapore. Open the role to review the official description and apply on the company site.

CompanyOnsite

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.

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