ASUS USA - Senior Machine Learning Engineer

$161K–246KActiveverified 4h ago

Job description

ASUS Products ROG Products Commercial Support { "@context": "http://schema.org", "@type": "JobPosting", "datePosted": "2026-05-11", "description": "

Job Description Overview:

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.

Essential Duties and Responsibilities:

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.

Knowledge and Skills:

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.

Ability to work confidently in a rapidly changing, fast-paced and results-oriented corporate environment where a high degree of flexibility is required
Excellent written and verbal communication skills in English

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Required Qualifications:

Years of Education

Bachelor's degree or higher in computer science, electrical engineering, robotics, or a related field.

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Work Experience

8+ years of industry experience developing and deploying machine learning models for computer vision or perception applications.

\u00A0

Preferred Qualifications:

Experience with camera geometry, 3D reconstruction, or GPU programming (e.g., CUDA, Triton) is a plus.
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Working Conditions:

Office Only: Works in an office environment in Boston, MA
3 days in office/2 days work from home
Requires sitting, operating a computer keyboard, telephone and other office equipment for extended periods of time

Travel to Taipei occasionally for team collaboration and project needs
Domestic travel approx. 5%. International travel approx. 5%

\u00A0

About the ASUS Robotics & AI Center

The ASUS Robotics and AI Center is a world-class research and development laboratory that was established with the mission of developing ambitious technologies that will define the future. Our multidisciplinary team of the brightest engineers and scientists is dedicated to creating software-focused solutions that will solve some of the most enduring challenges in the fields of robotics and artificial intelligence.

More About ASUS

ASUS is a global technology leader that provides the world\u2019s most innovative and intuitive devices, components, and solutions to deliver incredible experiences that enhance the lives of people everywhere. With its team of 5,000 in-house R&D experts, the company is world-renowned for continuously reimagining today\u2019s technologies. Consistently ranked as one of Fortune\u2019s World\u2019s Most Admired Companies, ASUS is also committed to sustaining an incredible future. The goal is to create a net zero enterprise that helps drive the shift towards a circular economy, with a responsible supply chain creating shared value for every one of us.

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$161,000 \u2013 $246,000 annually is the estimated pay range for this role working in Boston, MA. The final amount will be determined based on qualifications & experience of the candidate relative to the role. Our comprehensive employee benefits include bonuses, medical, dental, vision, life insurance, AD&D insurance, Paid Time Off, EAP, & 401(k).

ASUS is an equal employment opportunity employer. The Company makes employment decisions without regard to race, color, religion, sex, gender, pregnancy/ breastfeeding, medical conditions related to pregnancy or childbirth, sexual orientation, age, national origin or ancestry, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, as well as any other characteristic protected by law, regulation or local ordinance, and strives to comply with all applicable laws on the subject. These employment decisions extend to hiring, placement, promotion, transfer, demotion, layoff, termination, recruitment, pay and other forms of compensation, training and other terms and conditions of employment.\u00A0

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", "hiringOrganization": "ASUS Computer International", "employmentType": "Full-Time", "industry": "Engineering", "identifier": "oJ87zfwh", "jobLocation": [ { "@type": "Place", "address": { "@type": "PostalAddress", "addressLocality": "Boston", "addressRegion": "Massachusetts", "addressCountry": "United States" } } ], "title": "Senior Machine Learning Engineer", "baseSalary": { "@type": "MonetaryAmount", "currency": "", "value": { "@type": "QuantitativeValue", "minValue": "161000", "maxValue": "246000", "unitText": "" } } } Senior Machine Learning Engineer Engineering Boston, Massachusetts Apply Description Job Description Overview: 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.Essential Duties and Responsibilities: 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.Knowledge and Skills: 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.Ability to work confidently in a rapidly changing, fast-paced and results-oriented corporate environment where a high degree of flexibility is required Excellent written and verbal communication skills in English Required Qualifications: Years of Education Bachelor's degree or higher in computer science, electrical engineering, robotics, or a related field. Work Experience8+ years of industry experience developing and deploying machine learning models for computer vision or perception applications. Preferred Qualifications:Experience with camera geometry, 3D reconstruction, or GPU programming (e.g., CUDA, Triton) is a plus. Working Conditions:Office Only: Works in an office environment in Boston, MA3 days in office/2 days work from homeRequires sitting, operating a computer keyboard, telephone and other office equipment for extended periods of timeTravel to Taipei occasionally for team collaboration and project needs Domestic travel approx. 5%. International travel approx. 5% About the ASUS Robotics & AI CenterThe ASUS Robotics and AI Center is a world-class research and development laboratory that was established with the mission of developing ambitious technologies that will define the future. Our multidisciplinary team of the brightest engineers and scientists is dedicated to creating software-focused solutions that will solve some of the most enduring challenges in the fields of robotics and artificial intelligence.More About ASUSASUS is a global technology leader that provides the world’s most innovative and intuitive devices, components, and solutions to deliver incredible experiences that enhance the lives of people everywhere. With its team of 5,000 in-house R&D experts, the company is world-renowned for continuously reimagining today’s technologies. Consistently ranked as one of Fortune’s World’s Most Admired Companies, ASUS is also committed to sustaining an incredible future. The goal is to create a net zero enterprise that helps drive the shift towards a circular economy, with a responsible supply chain creating shared value for every one of us. $161,000 – $246,000 annually is the estimated pay range for this role working in Boston, MA. The final amount will be determined based on qualifications & experience of the candidate relative to the role. Our comprehensive employee benefits include bonuses, medical, dental, vision, life insurance, AD&D insurance, Paid Time Off, EAP, & 401(k).ASUS is an equal employment opportunity employer. The Company makes employment decisions without regard to race, color, religion, sex, gender, pregnancy/ breastfeeding, medical conditions related to pregnancy or childbirth, sexual orientation, age, national origin or ancestry, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, as well as any other characteristic protected by law, regulation or local ordinance, and strives to comply with all applicable laws on the subject. These employment decisions extend to hiring, placement, promotion, transfer, demotion, layoff, termination, recruitment, pay and other forms of compensation, training and other terms and conditions of employment. Apply Apply Later Applicants must be authorized to work for ANY employer in the U.S. The company will not sponsor or take over sponsorship of an employment Visa at this time. ← Back to Current Openings Share lang: en_US Share LinkedIn Facebook Twitter Email Learn More Partner Portal ASUS PC DIY Become a Reseller Edge Up Insider's Edge Powered by ASUS Rate Your Gear Accessibility Policy About Us About ASUS Careers Corporate Social Responsibility News Internal Audit Press Room Where to Buy ASUSTOR Inc. Support ASUS Premium Care Contact Us Commercial Support Deal Registration MyASUS Product Registration Rebate Center Security Advisory ASUS Support Videos Community Powered by Jobvite Terms of Use Notice Privacy Policy ©ASUSTeK Computer Inc. All rights reserved.

ASUS Products ROG Products Commercial Support { "@context": "http://schema.org", "@type": "JobPosting", "datePosted": "2026-05-11", "description": "

Job Description Overview:

Essential Duties and Responsibilities:

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.

Knowledge and Skills:

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.

Ability to work confidently in a rapidly changing, fast-paced and results-oriented corporate environment where a high degree of flexibility is required
Excellent written and verbal communication skills in English

\u00A0

Required Qualifications:

Years of Education

Bachelor's degree or higher in computer science, electrical engineering, robotics, or a related field.

\u00A0

Work Experience

8+ years of industry experience developing and deploying machine learning models for computer vision or perception applications.

\u00A0

Preferred Qualifications:

Experience with camera geometry, 3D reconstruction, or GPU programming (e.g., CUDA, Triton) is a plus.
\u00A0

Working Conditions:

Office Only: Works in an office environment in Boston, MA
3 days in office/2 days work from home
Requires sitting, operating a computer keyboard, telephone and other office equipment for extended periods of time

Travel to Taipei occasionally for team collaboration and project needs
Domestic travel approx. 5%. International travel approx. 5%

\u00A0

About the ASUS Robotics & AI Center

More About ASUS

\u00A0

\u00A0\u00A0

ASUS Products ROG Products Commercial Support { "@context": "http://schema.org", "@type": "JobPosting", "datePosted": "2026-05-11", "description": "

Job Description Overview:

Essential Duties and Responsibilities:

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.

Knowledge and Skills:

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.

Ability to work confidently in a rapidly changing, fast-paced and results-oriented corporate environment where a high degree of flexibility is required
Excellent written and verbal communication skills in English

\u00A0

Required Qualifications:

Years of Education

Bachelor's degree or higher in computer science, electrical engineering, robotics, or a related field.

\u00A0

Work Experience

8+ years of industry experience developing and deploying machine learning models for computer vision or perception applications.

\u00A0

Preferred Qualifications:

Experience with camera geometry, 3D reconstruction, or GPU programming (e.g., CUDA, Triton) is a plus.
\u00A0

Working Conditions:

Office Only: Works in an office environment in Boston, MA
3 days in office/2 days work from home
Requires sitting, operating a computer keyboard, telephone and other office equipment for extended periods of time

Travel to Taipei occasionally for team collaboration and project needs
Domestic travel approx. 5%. International travel approx. 5%

\u00A0

About the ASUS Robotics & AI Center

More About ASUS

\u00A0

\u00A0\u00A0

{ "@context": "http://schema.org", "@type": "JobPosting", "datePosted": "2026-05-11", "description": "

Job Description Overview:

Essential Duties and Responsibilities:

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.

Knowledge and Skills:

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.

Ability to work confidently in a rapidly changing, fast-paced and results-oriented corporate environment where a high degree of flexibility is required
Excellent written and verbal communication skills in English

\u00A0

Required Qualifications:

Years of Education

Bachelor's degree or higher in computer science, electrical engineering, robotics, or a related field.

\u00A0

Work Experience

8+ years of industry experience developing and deploying machine learning models for computer vision or perception applications.

\u00A0

Preferred Qualifications:

Experience with camera geometry, 3D reconstruction, or GPU programming (e.g., CUDA, Triton) is a plus.
\u00A0

Working Conditions:

Office Only: Works in an office environment in Boston, MA
3 days in office/2 days work from home
Requires sitting, operating a computer keyboard, telephone and other office equipment for extended periods of time

Travel to Taipei occasionally for team collaboration and project needs
Domestic travel approx. 5%. International travel approx. 5%

\u00A0

About the ASUS Robotics & AI Center

More About ASUS

\u00A0

\u00A0\u00A0

Senior Machine Learning Engineer

Engineering Boston, Massachusetts

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