Full Stack Engineer at Knewton
New York City, NY, US
Knewton is on a mission to personalize learning for the world. Teachers, schools, and education companies use Knewton to power digital course materials that dynamically adapt to each student’s unique needs. Knewton provides students with tailored recommendations for exactly what to study, teachers with analytics to better support each student, and publishers with content insights to develop more effective digital products.



Knewton has delivered more than 15 billion personalized recommendations to over 10 million students on every continent except Antarctica. Knewton was founded in 2008 and is headquartered in New York City with offices in London and Tokyo. We have also been recognized as a Technology Pioneer at the World Economic Forum in Davos, one of the top 100 Best Places to work by Crain’s New York Business and one of the Fast Company’s Top 10 Most Innovative Companies in Big Data. Investments top $150M from well-known angel investors plus Accel, Bessemer, First Round Capital, Firstmark, Founders Fund, GSV and Atomico.



Our team is seeking a Full Stack Engineer to join the Engineering team.

This is an outstanding opportunity to:



Work with and learn from the world's best engineers

Make a meaningful, positive impact on lives of students across the US and internationally

Contribute to key engineering decisions regarding the technical direction of the team

Quickly build world class consumer facing products that see daylight

Engineers must have:



A track record of writing high-quality, elegant code

Advanced understanding of JavaScript, DOM, and CSS

Familiarity with Python or Java

An understanding of relational database models

A passion for transforming education

Not required but highly desired are:



Experience with the React and Redux frameworks

Experience with the Java Virtual Machine (JVM)

Familiarity with Amazon Web Services (AWS) and Unix

Understanding of Machine Learning techniques

Familiarity with Hadoop or Spark

Perks include:



Competitive salary and stock options

As much paid vacation as you need to take

Flexible hours

High-quality equipment (default setup: a Mac laptop with a giant monitor)

The opportunity to use cutting-edge machine learning and engineering techniques to transform and democratize education