- 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