The ASUS Robotics & AI Center is seeking a Senior Machine Learning Engineer to join our global research and development team. This role centers on leading the design and delivery of advanced computer vision and perception systems for our next-generation autonomous platforms. We are looking for a seasoned engineer who brings deep technical expertise, sound engineering judgment, and a proven track record of delivering production ML systems in complex, real-world environments. The ideal candidate is a mature, self-directed contributor who can drive technical decisions, mentor others, and operate effectively across a collaborative, multidisciplinary team.Lead the design and development of machine learning systems for computer vision and perception tasks.Optimize models for real-time performance on embedded and edge computing platforms.Build and maintain robust 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.Drive technical decisions and provide guidance on architecture, tooling, and best practices across the team.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.8+ 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. Hands-on experience training models such as VLMs, ViTs, and/or CNNs.Familiarity with classical computer vision techniques (e.g., OpenCV).Exceptionally strong problem-solving skills and the ability to lead technical work in a fast-paced, 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 strongly preferred.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 Senior Machine Learning Engineer to join our global research and development team. This role centers on leading the design and delivery of advanced computer vision and perception systems for our next-generation autonomous platforms.
We are looking for a seasoned engineer who brings deep technical expertise, sound engineering judgment, and a proven track record of delivering production ML systems in complex, real-world environments. The ideal candidate is a mature, self-directed contributor who can drive technical decisions, mentor others, and operate effectively across a collaborative, multidisciplinary team.
- Lead the design and development of machine learning systems for computer vision and perception tasks.
- Optimize models for real-time performance on embedded and edge computing platforms.
- Build and maintain robust 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.
- Drive technical decisions and provide guidance on architecture, tooling, and best practices across the team.
- 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.
- 8+ 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. Hands-on experience training models such as VLMs, ViTs, and/or CNNs.
- Familiarity with classical computer vision techniques (e.g., OpenCV).
- Exceptionally strong problem-solving skills and the ability to lead technical work in a fast-paced, 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 strongly preferred.
- 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.
