ASUS USA

Designs, manufactures, and markets computing devices

Senior Machine Learning Scientist

Applied Machine LearningConfirmed live in the last 24 hours

Full-timeTaipei City, TaiwanNo salary listed

About the Job

Requirements

A Master’s degree or PhD in computer science.
At least 5 years of industry work experience.
Expertise in data science, statistics, machine learning, and/or artificial intelligence.
Expertise in deep-learning frameworks such as TensorFlow and/or PyTorch, with hands-on experience training deep-learning models such as convolutional neural networks, recurrent neural networks, and/or graph neural networks, and familiarity with traditional machine-learning models.
Understanding of software-development best practices, including coding standards, code reviews, design patterns, source-control management, and test automation.
Programming skills in C++, Python, JavaScript, and/or Go.

Responsibilities

Work with stakeholders to gain insights from data by employing statistical and/or machine-learning models.
Use fast experimentation, iterations, and exploratory data analysis to reduce time to market.
Work with data-infrastructure engineers to build data infrastructure and tools.
Write clean, maintainable, and well-commented source code.
Work in a cross-functional team that owns the full software lifecycle.
Read relevant literature independently and share insights and knowledge with stakeholders.
Collaborate with other teams to make software architecture design decisions.

Senior Machine Learning Scientist

ASUS Robotics & AI Center · Taipei, Taiwan · Full-time · Posted 2025-11-19

Workplace: on_site

Department: Taiwan Engineering

Description

Work with other stakeholders to gain new insights from data by employing statistical and/or machine learning models.
Employ fast experimentation, iterations, and exploratory data analysis to reduce time to market.
Work with data-infrastructure engineers to build up top-notch data infrastructure and tools.
Write clean, maintainable, and well-commented source code.
Work in a cross-functional team that takes ownership of the full software lifecycle.
Independently read relevant literature and share your insights and knowledge with other stakeholders.
Collaborate with other teams to make optimal software architecture design decisions.

Requirements

Master’s degree or PhD in computer science.
5+ years of industry work experience.
Exceptional academic track record with expertise in data science, statistics, machine learning, and/or artificial intelligence.
Expertise in deep learning frameworks such as TensorFlow and/or PyTorch. Hands-on experience with training deep learning models such as CNN, RNN, and/or graph NN. Familiarity with traditional machine learning models.
Exceptionally strong understanding of fundamentals and problem solving skills.
Strong verbal and written communication skills.
Understanding of software development best practices, including coding standards, code reviews, design patterns, source control management, and test automation.
Programming skills in C++, Python, JavaScript, and/or Go.
Consistently professional demeanor in alignment with our values of integrity and excellence in the workplace.

Benefits

Work with experts from around the world
Top-notch facility and compensation
Fully English-speaking work environment in Taiwan
Combination of the best aspects of a startup, academia, and a large international enterprise

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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