Job Description

• 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.
• 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.

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