Senior Machine Learning Engineer
About the role
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.
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.
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.
Qualifications
- Bachelor's degree or higher in computer science, electrical engineering, robotics, or a related field.
- 8+ years of industry experience developing and deploying machine learning models for computer vision or perception applications.
- Experience with camera geometry, 3D reconstruction, or GPU programming (e.g., CUDA, Triton) is a plus.
Working Conditions
- Office environment in Boston, MA.
- Hybrid schedule: 3 days in office, 2 days remote.
- Requires sitting, operating a computer keyboard, telephone, and other office equipment for extended periods.
- Occasional travel to Taipei for team collaboration and project needs (domestic travel ~5%, international travel ~5%).
About ASUS Robotics & AI Center
The ASUS Robotics and AI Center is a world-class research and development laboratory established to develop ambitious technologies that will define the future. Our multidisciplinary team of engineers and scientists is dedicated to creating software-focused solutions to solve enduring challenges in robotics and artificial intelligence.
About ASUS
ASUS is a global technology leader providing innovative and intuitive devices, components, and solutions to enhance lives. With 5,000 in-house R&D experts, ASUS is renowned for continuously reimagining today’s technologies. Consistently ranked as one of Fortune’s World’s Most Admired Companies, ASUS is committed to sustainability, aiming for a net-zero enterprise and a circular economy through a responsible supply chain.
Pay
$161,000 – $246,000 annually for this role in Boston, MA. The final amount will be determined based on qualifications and experience.
Benefits
- Bonuses
- Medical, dental, and vision insurance
- Life insurance and AD&D insurance
- Paid Time Off (PTO)
- Employee Assistance Program (EAP)
- 401(k) retirement plan