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.
New York, NY
Condé Nast is a premier media company renowned for producing the highest quality content for the world's most influential audiences, attracting over 100 million consumers across its industry-leading print, digital, and video brands.
Condé Nast is home to many of the world's most-celebrated magazine and website brands. The company's reputation for excellence is the result of our commitment to publishing the best consumer, trade, and lifestyle content. Our brands include Vogue, Epicurious, Vanity Fair, The New Yorker, Wired, and many more. Passion is the core of our philosophy at Condé Nast. Our mission is not only to inform readers but to ignite and nourish their passions.
As a member of the Data Science and Machine Learning Engineering (DS/MLE) team you will participate in projects under initiatives such as recommender systems, NLP, segmentation, and user behaviors. You will work collaboratively with data scientists, machine learning engineers, data engineers, and business stakeholders.
Responsibilities include, but are not limited to:
Participate in model design, testing, and execution
Work closely with data engineers and machine learning engineers to deliver products and analyses
Develop advanced machine learning algorithms and proof of concepts
Experiment and Innovate in applications of machine learning to Conde Nast’s Business problems
Applicants should have a degree (B.S. or higher) in technical discipline or relevant professional experience
1-3 years of machine learning experience in industry or academia
Experience in one or more areas of advanced data science (NLP, Deep Learning, Computer Vision, etc.)
Experience in statistical analysis and experiment design
Software development skills with proficiency in Python
Experience with machine learning frameworks such as TensorFlow, JAX, PyTorch, Spark MLlib, Keras, or scikit-learn
Proven attention to detail, critical thinking, and the ability to work with some supervision from senior scientists and collaboratively within a cross-functional team
The expected base salary range for this position is from $100,000 - $150,000. Salary offers are based on a wide range of factors including but not limited to relevant skills, training, experience, and education.
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.