1 World Trade Center, New York, NY
Full Time
Condé 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, Condé Nast Traveler/Traveller, Allure, AD, Bon Appétit and Wired, among others. Condé Nast Entertainment was launched in 2011 to develop film, television and premium digital video programming.

Job Description


New York, NY

Senior/Lead Machine Learning Engineering

Condé Nast is a premier media company renowned for producing the highestquality content for the world's most influential audiences, attracting over 100 millionconsumers across its industry-leading print, digital, and video brands.Condé Nast is home to many of the world's most-celebrated magazine and websitebrands. The company's reputation for excellence is the result of our commitment topublishing the best consumer, trade, and lifestyle content. Our brands includeVogue, Epicurious, Vanity Fair, The New Yorker, Wired, and many more. Passion isthe core of our philosophy at Condé Nast. Our mission is not only to inform readersbut to ignite and nourish their passions.As a manager on the Data Science and Machine Learning Engineering (DS/MLE)team, you will supervise the work of a small team of machine learning engineers.You will be the technical expert for a team that delivers models for initiatives such asrecommender systems, NLP, segmentation, and user behaviors. You will take aleadership role within the DS/MLE team and work collaboratively with otherbusiness areas.


Responsibilities include, but are not limited to:

Participate in model design, optimization, testing, quality assurance, and defectresolution

Design and implement scalable systems to convert large volumes of data into usefulmodel features, reports, and datasets

Deliver and orchestrate machine learning infrastructure within production environments

Collaborate with Engineers and Scientists to architect and implement a shared vision

Participate in the entire software development lifecycle, from concept to release

Provide technical expertise to junior team members


Applicants should have a degree (B.S. or higher) in Computer Science or a relateddiscipline or relevant professional experience

3-5+ yearsof software development experience designingscalable systems related tomachine learning or more general statistical analysis

Strong software development skills with proficiency in Python or C++

Experience with analytics frameworks such as Pandas, Apache Spark, Dask, or Flink

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.

Condé 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.

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