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.
Requirements
Master’s degree or PhD in computer science.
2+ 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.
Consistently professional demeanor in alignment with our values of integrity and excellence in the workplace.
Benefits
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
