Required a Senior Machine Learning Engineer
We make stories relevant and powerful for hundreds of the worlds 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 arent 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. Keywees 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.
The company is backed by leading investors such as Googles Eric Schmidt and The New York Times, and has been a fast-growing, profitable startup since its inception.
Requirements:
The Opportunity:
The company 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.
Qualifications (or what were looking for):
* PhD/MSc in Computer Science (or equivalent).
* 4+ years 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.