Keywee Published: December 26, 2019
Job Type
Category
Level of education
Masters
Spoken Language needed
English
Level of Hebrew
Medium
Location of job
Tel Aviv/ Ramat Gan
How many relevant years experience do you require for the role:
More than 3 years

Description

At Keywee, we make stories relevant and powerful for hundreds of the world’s best storytellers — iconic brands and digital natives like The New York Times, The BBC, National Geographic, Forbes, New York Magazine, Conde Nast, Refinery29, and The New Yorker.

Today, people aren’t coming to websites to search for content — stories find their audiences in feeds and apps. The upshot? Distribution is now the key to effective storytelling. Keywee’s platform unlocks audience insights using AI and data science, and infuses them into every step of the storytelling process: from topic selection, to story creation, to distribution and optimization. Keywee is backed by leading investors such as Google’s Eric Schmidt and The New York Times, and has been a fast-growing, profitable startup since its inception.

The Opportunity:

Keywee is growing and looking for a talented Applied Machine Learning Scientist with a hands-on attitude. Someone who loves to solve complex challenges in simple ways using tons of data.

If you can imagine how an AI-powered story can take different forms and how a personalized version of a story can find specific readers, then Keywee might be a fit for you. You will be working both independently and in a team, accompanying the full lifecycle of truly fascinating projects, from inception to monitoring production results.

Requirements

- PhD/MSc in Computer Science (or equivalent)
- 4+ years of experience of practical experience applying Machine Learning to solve real-world problems (2+ years for PhDs will also be considered)
- Experience with both Deep Learning and classical Machine Learning methods
- Experience in Natural Language Processing (NLP)
- Experience with Python and relevant packages (Tensorflow, Keras, PyTorch, Pandas, SciPy, Scikit-learn, spaCy)
- A team player
- Highly motivated and eager to work in an agile start-up environment
- Experience in Natural Language Generation or Computer Vision - advantage
- Familiarity with the following technologies – SQL, Spark, AWS, Dockers, Git - advantage
- Publications in top-tier venues - advantage
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