# Machine Learning Engineer

> ASUS Robotics & AI Center · Taipei, Taiwan · Full-time · Posted 2025-08-25

**Workplace:** on_site

**Department:** Taiwan Engineering

## Description

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.

## Apply

[Apply at ASUS Robotics & AI Center](https://apply.workable.com/araic/j/382B6C687E/apply)

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