[Scopes]
1. Designing UI elements and making sure they fit the design guide.
2. Create various charts and visualization utilities.
3. Designing React elements and CSS style to fit PRD and UX requirement.
4. Since a lot of machine learning tasks are long running tasks, you will be dealing with asynchronous behavior a lot (i.e. web sockets, futures, promises, messages). [Requirements]
1. 3+ years of experience in HTML5, CSS3, SASS, JavaScript.
2. Familiarity with React.JS and a state management library, e.g. Redux.
3. Understanding UX design or UI patterns, able to build reusable UI design-system.
4. Able to design data schema based on requirements, discuss with back end engineer on DB schema and API format.
5. Basic knowledge in back end development. [加分條件]
1. Leadership experience or volunteer experience.
2. Familiarity with databases, e.g. MySQL / MongoDB / PostgreSQL.
3. Familiarity with back end development using Python or Golang.
4. Experience in front end performance tuning.
5. Experience in RWD.
6. Experience in building data analytics application or good sense of data analytics. 7. Familiarity with interactive data visualization and charting libraries.
1. Designing UI elements and making sure they fit the design guide.
2. Create various charts and visualization utilities.
3. Designing React elements and CSS style to fit PRD and UX requirement.
4. Since a lot of machine learning tasks are long running tasks, you will be dealing with asynchronous behavior a lot (i.e. web sockets, futures, promises, messages). [Requirements]
1. 3+ years of experience in HTML5, CSS3, SASS, JavaScript.
2. Familiarity with React.JS and a state management library, e.g. Redux.
3. Understanding UX design or UI patterns, able to build reusable UI design-system.
4. Able to design data schema based on requirements, discuss with back end engineer on DB schema and API format.
5. Basic knowledge in back end development. [加分條件]
1. Leadership experience or volunteer experience.
2. Familiarity with databases, e.g. MySQL / MongoDB / PostgreSQL.
3. Familiarity with back end development using Python or Golang.
4. Experience in front end performance tuning.
5. Experience in RWD.
6. Experience in building data analytics application or good sense of data analytics. 7. Familiarity with interactive data visualization and charting libraries.