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Senior Machine Learning Scientist

ASUS Robotics & AI Center · Taipei, Taipei City, Taiwan · Onsite

About ASUS Robotics & AI Center

12 open jobs

Weak hiring record · median 364 days open

1414

Hiring signal

Ghost risk

Open 349 days · How we score

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  • Open 349 days
  • 100% of this employer's openings are over 60 days old

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Senior Machine Learning Scientist at ASUS Robotics & AI Center. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

  • 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.
  • 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.
  • 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

Skills

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