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 a strong foundation in computer vision and deep learning, experience deploying models into production, and a passion for translating cutting-edge algorithms into real-world robotics applications. The ideal candidate thrives in a multidisciplinary environment and is committed to delivering robust, production-ready solutions.Roles and ResponsibilitiesDevelop 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.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.Collaborate with cross-functional teams, including robotics, systems, and software engineers, to deliver production-ready solutions.RequirementsBachelor'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 and/or JAX.Familiarity with classical computer vision techniques (e.g., OpenCV).Strong problem-solving skills and ability to work effectively in a collaborative, multidisciplinary environment.Understanding of software development best practices, including coding standards, code reviews, source control management, and test automation.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.Experience with camera geometry, 3D reconstruction, or GPU programming (e.g., CUDA, Triton) is a plus.
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 a strong foundation in computer vision and deep learning, experience deploying models into production, and a passion for translating cutting-edge algorithms into real-world robotics applications. The ideal candidate thrives in a multidisciplinary environment and is committed to delivering robust, production-ready solutions.
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.
- 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.
- Collaborate with cross-functional teams, including robotics, systems, and software engineers, to deliver production-ready solutions.
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 and/or JAX.
- Familiarity with classical computer vision techniques (e.g., OpenCV).
- Strong problem-solving skills and ability to work effectively in a collaborative, multidisciplinary environment.
- Understanding of software development best practices, including coding standards, code reviews, source control management, and test automation.
- 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.
- Experience with camera geometry, 3D reconstruction, or GPU programming (e.g., CUDA, Triton) is a plus.
The ASUS Robotics and AI Center is a world-class research and development laboratory in Taipei that was established with the mission of developing ambitious technologies that will define the future. Our multidisciplinary team of the brightest engineers and scientists are dedicated to creating software-focused solutions that will solve some of the most enduring challenges in the fields of robotics and artificial intelligence. Through our drive to pursue the boundless possibilities of these nascent technologies and meet the difficult challenges they present head-on, we will achieve breakthroughs that will propel future innovations and empower people around the world with new capabilities of robotics and AI computing.
The ASUS Robotics and AI Center is a world-class research and development laboratory in Taipei that was established with the mission of developing ambitious technologies that will define the future. Our multidisciplinary team of the brightest engineers and scientists are dedicated to creating software-focused solutions that will solve some of the most enduring challenges in the fields of robotics and artificial intelligence. Through our drive to pursue the boundless possibilities of these nascent technologies and meet the difficult challenges they present head-on, we will achieve breakthroughs that will propel future innovations and empower people around the world with new capabilities of robotics and AI computing.
