Gracious Eloise wants to make communication more personal. With our patented handwriting digitization technology, people can add a “handwritten” touch to their important messages be it virtual or typed then printed.
Full stack developers at Gracious Eloise work on all parts of the system, from our widgets and websites to our API to handwriting processing and rendering. Our technical challenges are many and you’ll have the opportunity to extend yourself by optimizing code and systems across the stack, developing your machine learning skills, honing your UI creation abilities, and more.
Our culture: Making computers understand handwriting is a very difficult problem and we have cracked the handwriting code, persevering through problems to build working solutions. We do this by being curious and having a strong drive to get stuff done. We collaborate to reach the best solution quickly and efficiently. We are constantly learning and extending ourselves. We are self-aware and honest with ourselves and other team members. We use Scrum as the framework for iterating and learning from our successes and failures.
Our team is small. In joining us, you’ll become a core team member making significant contributions. Your experience and expertise will influence technical direction, product decisions, and the culture of the company as we grow and learn together along the journey.
Things you will do:
- Develop our REST API, embeddable web widgets and related websites
- Build handwriting processing and rendering enhancements and tools
- Automate tests and processes over providing manual solutions
- Optimize and scale all layers of the applications and systems
- Collaborate with team members on code review and getting work to done
Things you will use and learn:
- The stack: Ruby, Python, CoffeeScript, PostgreSQL, and the numerous libraries and tools built on top of and around them
- Libraries and tools such as Backbone, Gulp, Mocha, Rails, Doorkeeper, RSpec, and Guard
- Deploy on Linux in AWS and Heroku
- Machine learning, including: NumPy, SciPy, scikit-learn, and OpenCV
All employees are offered a competitive salary, stock options and healthcare benefits. Engineering comprises 80% of the company.