What is Knewton? At Knewton, we believe each student is unique and that their knowledge is not defined by their last answer. Sometimes what a student needs at any moment may not be the next lesson in their textbook. College professors use Knewton in place of a traditional textbook, to help students learn the material and succeed in their courses. Join us to help students have a more positive educational experience.

What have we accomplished since opening our doors in 2008? We’ve delivered more than 15 billion (that’s right, billion) personalized recommendations to over 14 million students on every continent (okay, except Antarctica). We are building on the success of our recently-launched Alta product to deliver educational software to colleges and universities across the country. We’re headquartered in NYC with offices in London and Tokyo. Investments top $150M from well-known angel investors plus Accel, Bessemer, First Round Capital, Firstmark, Founders Fund, GSV and Atomico.

We're looking for a data science intern to help build an innovative online education system that adapts to each individual student. You will join a world-class team of data scientists and engineers who are pushing the boundaries of machine learning. Interns will get to work with a mountain of data and an exciting array of projects. Knewton actively adopts and contributes to open source data science technologies such as Hadoop, Cassandra, Storm, HBase, and SciPy, and interns will be encouraged to interact with these communities.

To learn more about what interns have accomplished in the past, read our blog!

Here are some of the things we're looking for in our interns:

• Passion and enthusiasm for building scalable systems that analyze huge data sets and make actionable recommendations
• Coursework in machine learning, statistics, and advanced mathematics
• Familiarity with JAVA or Python and a statistical programming language (R, Matlab)
• Familiarity with some of following technologies: collaborative filtering, decision trees (and automatic tree generation), Bayesian methods, clustering techniques (principal components analysis, k-means, etc.), probabilistic graphical models, neural networks, and support vector machines
• Bonus if you have actually implemented a data mining or machine learning system in a side project or other work experience
• Currently pursuing a Master's or PhD degree in a related field with at least one semester or quarter remaining after internship

Perks Include:

• High-quality equipment (Mac or PC)
• Social groups and sports teams
• Catered lunch everyday in the office, all-day snacks, and a full bar
• Free monthly MetroCards/PATH cards
• Pet Friendly

Here are some of the things we're looking for in our interns:

• Passion and enthusiasm for building scalable systems that analyze huge data sets and make actionable recommendations
• Coursework in machine learning, statistics, and advanced mathematics
• Familiarity with JAVA or Python and a statistical programming language (R, Matlab)
• Familiarity with some of following technologies: collaborative filtering, decision trees (and automatic tree generation), Bayesian methods, clustering techniques (principal components analysis, k-means, etc.), probabilistic graphical models, neural networks, and support vector machines
• Bonus if you have actually implemented a data mining or machine learning system in a side project or other work experience
• Currently pursuing a Master's or PhD degree in a related field with at least one semester or quarter remaining after internship

Perks Include:

• High-quality equipment (Mac or PC)
• Social groups and sports teams
• Catered lunch everyday in the office, all-day snacks, and a full bar
• Free monthly MetroCards/PATH cards
• Pet Friendly