ASUS USA

Designs, manufactures, and markets computing devices

Machine Learning Engineer

Computer VisionConfirmed live in the last 24 hours

Full-timeTaipei City, TaiwanNo salary listedIn-person

About the Job

Requirements

A bachelor's degree or higher in computer science, electrical engineering, robotics, or a related field is required.
At least 5 years of experience developing and deploying machine learning models for computer vision or perception applications is required.
Proficiency in Python and deep learning frameworks such as PyTorch and/or JAX is required.
Familiarity with classical computer vision techniques such as OpenCV is required.
Understanding of software development best practices, including coding standards, code reviews, source control management, and test automation, is required.

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.

Desired Qualifications

Experience with robotics, autonomous systems, or real-time perception applications is a plus.
Knowledge of MLOps practices, such as model versioning and CI/CD for machine learning, is a plus.
Experience with camera geometry, 3D reconstruction, or GPU programming such as CUDA and Triton is a plus.

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

About the Company

ASUS USA

Designs, manufactures, and markets computing devices

ASUS USA designs and sells computer hardware and consumer electronics, including laptops, desktops, gaming devices, components, peripherals, networking gear, AIoT devices, and cloud solutions. Its products work by integrating powerful hardware with software and services to deliver complete, user-focused technology experiences; the company leverages its large in-house R&D team to create cohesive ecosystems across devices, ensuring performance, reliability, and ease of use. ASUS differentiates itself through a strong emphasis on user needs, an extensive in-house research and development capability, a broad product ecosystem, and a commitment to environmental and community stewardship, aiming to earn trust and deliver dependable technology rather than chasing quick trends. Its goal is to help people live better through technology, by pushing industry standards in gaming, content creation, AIoT, and cloud solutions and by turning today’s innovations into tomorrow’s reliable realities.

Company size: 10,001+
Company stage: IPO
Headquarters: Chiayi, Taiwan
Founded: 1990

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