Machine Learning Engineer

2 weeks ago

Taipei Taipei City, Taiwan ASUS Full time $100,000 - $150,000 per year

The ASUS Robotics & AI Center is seeking a Machine Learning Engineer to join our global research and development team. This role focuses on designing, implementing, and optimizing computer vision and perception systems that power our next-generation autonomous platforms.

We are looking for a hands-on engineer with experience deploying machine learning models into production, a strong foundation in computer vision and digital imaging, and a passion for translating algorithms into real-world solutions. The ideal candidate thrives in a multidisciplinary environment, contributing to robust, real-time perception pipelines that support advanced AI and robotics applications.

Roles And Responsibilities

  • Develop and deploy machine learning models for computer vision and object recognition tasks
  • Optimize models for real-time performance on embedded and edge computing platforms
  • Build and maintain perception pipelines that integrate data from cameras and other sensors
  • Collaborate with cross-functional teams, including robotics, systems, and software engineers, to deliver production-ready solutions
  • Evaluate and implement state-of-the-art techniques in deep learning, object detection, and visual tracking
  • Design and execute experiments, including simulation and real-world field testing, to validate model performance
  • Maintain and improve datasets, pipelines, and tools to support efficient model training and deployment

Requirements

  • Bachelor's degree or higher in computer science, electrical engineering, robotics, or a related field
  • 5+ years of experience developing and deploying machine learning models for computer vision or perception applications
  • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
  • Experience with real-time or embedded deployment, including GPU or edge accelerators (e.g., NVIDIA Jetson, Coral, Movidius)
  • Familiarity with classical computer vision techniques (OpenCV) and multi-sensor data integration (e.g., cameras, LiDAR, IMU)
  • Strong problem-solving skills and ability to work in a collaborative, multidisciplinary environment
  • Experience with robotics, autonomous systems, or real-time perception applications is a plus
  • Knowledge of MLOps practices (e.g., model versioning, CI/CD for ML) is a plus

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