Machine Learning Engineer Intern

Location
Redwood City, CA, United States
Department
Internships

Evernote is looking for interns or fresh graduates for our new machine learning team! 

 
About The Role:
What if Evernote helped you decide what to make for dinner and automatically created a shopping list from those recipes you clipped? Or noticed that you were planning a trip and reminded you of the "Best Hotels in Paris" article you saved last year?
 
We have a long history of using machine learning for handwriting and printed character recognition, and now we're tackling a more ambitious challenge: using Evernote should make you smarter. We're looking for talented engineers with a machine learning background to apply cutting-edge data mining techniques to help people contextualize and understand their memories. Come work with a huge, one-of-a-kind data set and help millions of people organize and improve their lives.
 
Responsibilities:

  • Design and develop scalable systems that apply data mining techniques to hundreds of millions of notes, web pages, and other types of content.
  • Participate in the full machine learning system implementation process: prototyping, assembling training data, model design, feature selection, system implementation, and evaluation.
  • Understand the Evernote user experience and product line, and adapt machine learning techniques for a variety of server-side, mobile, and desktop environments.

Requirements and Skills:

  • Experience with natural language processing, classification, regression, collaborative filtering, or clustering techniques applied to large data sets.
  • Proficiency in Java or Python for implementing data and text mining techniques.
  • Exposure to Weka, Orange, NLTK, or other common data mining toolkits is a plus.
  • Exposure to or interest in Hadoop or Lucene a plus.
  • Good understanding of web technologies and Linux/Unix.

Education:
Completed or currently completing Bachelor’s, Master's or PhD degree in computer science, computer engineering or related technical discipline.

Working at Evernote:
We are a dynamic team with a start-up feel. We have open, collaborative offices in Redwood City, CA and Austin, TX. 
 
At Evernote, we promote an entrepreneurial spirit and perspective and engage a management style that encourages the free exchange of new ideas and rewards self-motivation. Our engineering team works in small teams, collaborating closely with product management and our quality-engineering group.
 
Benefits & Perks:
Our employees gather daily to enjoy a selection of delicious daily lunches delivered to the office (we love food, and every day is different!). We offer paid public transportation (i.e. Cal Train) and break rooms packed with a variety of snacks and drinks. Our Redwood City office is within walking distance from the Caltrain station.

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À propos d'Evernote

Chez Evernote, nous concevons des produits qui permettent aux utilisateurs d'atteindre leurs objectifs personnels et professionnels et de devenir "meilleurs" à la maison, au bureau et partout entre ces deux lieux.

Les bureaux Evernote de la société et de ses filiales se trouvent aux États-Unis, en Asie et en Europe. Evernote est un innovateur mondial nommé Société de l'année 2012 par Inc. Magazine et sélectionné comme l'une des 50 Sociétés les plus innovantes par Fast Company. La société est également entrée aux Hall of Fame d'Apple App Store. En plus d'être l'une des rares sociétés à concevoir des produits pour presque l'intégralité des ordinateurs et appareils mobiles du marché, nous entretenons et soutenons une communauté mondiale de dizaines de milliers de développeurs. Nous travaillons étroitement avec ces personnes pour concevoir des applications, produits et services tiers qui s'intègrent à la plateforme Evernote pour développer et compléter nos produits et faire évoluer la Vie Evernote.


Pourquoi Evernote ?

Evernote vous permet de capturer facilement des informations à l'aide de votre ordinateur, téléphone mobile ou appareil photo. Elles sont ensuite accessible et peuvent être recherchées à tout moment et en tout lieu.

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