Senior Machine Learning Scientist

Job Location

Taipei City

Type of Job

Full Time

  • 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.

Qualifications

  • Master’s degree or PhD in computer science, electrical engineering, mechanical engineering, applied mathematics, or a related field.

  • 5+ years of industry work experience or equivalent.

  • 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.

Roles & responsibilities

  • 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.

Qualifications

  • Master’s degree or PhD in computer science, electrical engineering, mechanical engineering, applied mathematics, or a related field.

  • 5+ years of industry work experience or equivalent.

  • 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.

How to apply

If you have the passion, knowledge and expertise to contribute to an elite and diverse team of experts, we strongly encourage you to apply today. Send your resume along with the name of the position you are applying for and a brief self-introduction to Recruiting_ARAIC@asus.com.

About us

The ASUS Robotics and AI Center is a world-class research and development laboratory in Taipei that was established with the mission of developing ambitious technologies that will define the future. Our multidisciplinary team of the brightest engineers and scientists are dedicated to creating software-focused solutions that will solve some of the most enduring challenges in the fields of robotics and artificial intelligence. Through our drive to pursue the boundless possibilities of these nascent technologies and meet the difficult challenges they present head-on, we will achieve breakthroughs that will propel future innovations and empower people around the world with new capabilities of robotics and AI computing.