Research Engineer (Machine Learning)

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.

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  Design, implement, and integrate Visual-Language Models (VLMs) into simulation and robotic platforms to enable semantic reasoning, perception–language grounding, and decision-making.

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  Interface VLM-based modules with robot navigation, mapping, localization, planning, and control systems to support end-to-end autonomous operation.

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  Build and maintain simulation environments, multimodal datasets, and evaluation frameworks, handling data volumes from tens to hundreds of gigabytes.

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  Conduct experimental studies using GPU-enabled computing resources for model training, inference, and simulation-based evaluation.

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  Support rapid prototyping and iteration of research ideas, from concept to validated robotic systems and demonstrations.

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  Collaborate with and provide technical support to research staff and students across multiple projects.

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  Contribute to research outputs, including publications, technical disclosures, patents, and autonomous robot demonstrations.

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  Apply and recommend engineering best practices that promote reproducibility, maintainability, and research productivity.

• 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.