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Advance Magazine Publishers Inc. Summer Fellow, Machine Learning Engineer in New York, New York

Conde Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company's portfolio includes many of the world's most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Conde Nast Traveler/Traveller, Allure, AD, Bon Appetit and Wired, among others. Conde Nast Entertainment was launched in 2011 to develop film, television and premium digital video programming.
Job Description
Brief Description
Conde Nast is home to many of the world's most-celebrated magazine and website brands. The company's reputation for excellence results from our commitment to publishing the best consumer, trade, and lifestyle content. Our brands include Vogue, Glamour, Vanity Fair, New Yorker, Wired, Epicurious, and many more.

The Data Science team at Conde Nast supports a range of ML/AI initiatives in the following areas: content (text, images, and video) analysis, audience segmentation, personalization, and campaign forecasting/optimization.

We are seeking a Machine Learning Engineering Fellow to assist in these projects.

What you'll do

Design and implement scalable systems to convert large volumes of data into useful model features and datasets.

Collaborate with a cross-functional agile team of Software Engineers and Data Scientists to build new ML-centric product features.

Present and discuss findings with the team and business stakeholders.

Who you are:

You are proficient in Python and SQL (Important).

You have side projects or viewable public code on GitHub or equivalent (Important).

You can communicate difficult concepts to stakeholders with various backgrounds.

You are currently pursuing an M.S. or higher in Computer Science, Software Engineering, or related technical disciplines, with an expected graduation date of 2021 or 2022.

We would love it if:

You are familiar with cloud environments such as AWS or GCP.

You have an interest in distributed computing technologies such as Apache Spark.

You have some experience with ML frameworks such as scikit-learn and TensorFlow.
What happens next?
If you are interested in this opportunity, please apply below, and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile.

Conde Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics.

Conde Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.

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