Research Engineer, Advanced Sensing & Smart Inspection, ARTC

A*STAR RESEARCH ENTITIES; Singapore; On-site; SGD 90,000 - 130,000; Full time

Benefits offered by this job

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Job summary

A*STAR RESEARCH ENTITIES in Singapore seeks an AI/ML research engineer to develop models and agent modules for advanced inspection systems. You will train, validate and evaluate models using sensor data, simulations and experiments, translating partner needs into end-to-end solutions linking data acquisition, hardware, inference and decision-making.

You will support experimental setups, calibration and data acquisition, assist hardware integration with cameras, sensors, and edge devices, and

Qualifications

• Bachelor's or Master’s degree in Computer Science, Engineering, AI, Robotics or related field.
• Strong AI/ML foundation with model training, evaluation, and practical implementation.
• Proficient in Python with AI/ML applications in coursework, projects, internships or research.
• Solid software development fundamentals including version control and maintainable code.
• Basic understanding of hardware-software integration (sensors, edge devices, experimental setups).
• Self-motivated, analytical and able to collaborate with cross-functional teams.

Responsibilities

• Develop AI/ML models and agent modules; train, validate and evaluate models using sensor data, simulations and experiments.
• Translate partner needs into end-to-end inspection solutions linking data acquisition, hardware, inference and decision-making.
• Support experimental setup, calibration, data acquisition and hardware troubleshooting.
• Assist hardware-software integration with cameras, illumination, sensors, motion stages and edge devices.
• Prototype and test AI solutions, progressing concepts toward deployment.
• Collaborate across simulation, knowledge storage, hardware integration and validation teams.
• Document research findings, model performance and validation results.

Skills

AI/ML foundation

Python programming

Software development

Hardware-software integration

Cross-functional collaboration

Prototype to production

Education

Bachelor's degree in CS/Engineering/AI/Robotics or related field

Master's degree preferred

Tools

PyTorch

TensorFlow

OpenCV

LangChain

LangGraph

MLOps

Job description

Responsibilities

• Develop AI/ML models and agent modules; Train, validate, and evaluate AI models using sensor / inspection data, simulations outputs, and experiments.
• Translate partner and customer needs into end-to-end inspection solutions linking data acquisition, hardware, inference, and decision-making.
• Support experimental setup, calibration, data acquisition, and hardware troubleshooting.
• Support hardware-software integration with cameras, illumination, sensors, robotic or motion stages, programmable controllers, and edge-computing devices.
• Assist in setup, calibration, data acquisition, and hardware troubleshooting to ensure reliable data for AI model development and validation.
• Prototype, test, and iterate AI solutions, with a focus on progressing successful concepts toward deployment.
• Collaborate with teams across simulation, optimisation, knowledge storage, hardware integration, and validation.
• Document research findings, model performance, validation results, and system architectures.
• Keep abreast of advances in agentic AI, machine learning, computer vision, and automation to bring relevant new ideas to the project

Job Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, AI, Robotics, Mechanical Engineering or a related field.
• Strong AI/ML foundation, including model training, evaluation, and practical implementation.
• Proficient in Python, with experience applying AI/ML in coursework, projects, internships, or research.
• Solid software development fundamentals, including version control and maintainable code practices.
• Basic understanding of hardware-software integration, such as sensors, cameras, edge devices, or experimental setups.
• Self‑motivated, analytical, and able to collaborate effectively with cross‑functional teams.

Preferred Knowledge and Skills

• Hands‑on experience with PyTorch, TensorFlow, or similar AI/ML frameworks.
• Experience with computer vision libraries and techniques (e.g., OpenCV, object detection, segmentation, defect classification).
• Familiarity with, or strong interest in learning, agentic AI patterns, LLM‑based frameworks such as LangChain or LangGraph, and multi‑agent orchestration.
• Exposure to knowledge representation, vector databases, or retrieval‑augmented generation (RAG).
• Experience taking prototypes to production, including automation, deployment, integration, or MLOps practices.
• Background in signal processing, robotics/automation, or manufacturing quality inspection. Domain knowledge is beneficial but can be developed on the job.
• Experience with inspection hardware such as cameras, lighting, sensors, motion stages, robotics, PLCs, microcontrollers, or edge AI devices, including setup, integration, calibration, or troubleshooting.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.