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Senior Machine Learning EngineerASUSTeK Computer Inc. • Boston, Massachusetts, United States
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Senior Machine Learning Engineer

ASUSTeK Computer Inc.
  • US
    Boston, Massachusetts, United States
  • US
    Boston, Massachusetts, United States
Jetzt Bewerben

Über

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 including 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
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.
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, 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%.
Compensation $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 and experience of the candidate relative to the role.
Benefits Comprehensive employee benefits include bonuses, medical, dental, vision, life insurance, AD&D insurance, paid time off, EAP, and 401(k).
Equal Opportunity 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.
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  • Boston, Massachusetts, United States

Sprachkenntnisse

  • English
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