The Content Intelligence team is seeking a strong engineer with a focus on Natural Language Processing and/or Machine Learning to help grow and develop Condé Nast’s next­ generation content platform, Copilot.

At Condé Nast we process millions of semi ­structured contents such as articles, recipes, videos, galleries, comments, slideshows, photos. We are building an internal Content Intelligence platform to analyze them in order to empower several other products.

What is the Copilot Platform?

Copilot is the fundamental platform that powers online experiences for brands such as GQ, Epicurious, and Vanity Fair. At its core, it is a high ­performance RESTful API to help brands build immersive experiences.

Why come work with us?

The People.​ We are a team of eight engineers that are passionate about the code we write. We love to learn, and likewise want to teach and challenge each other to become better engineers.

The Work​. We believe that our job begins when our code hits production. And we gain satisfaction from seeing our APIs used to create experiences by other engineers.

The Code.​ We are strong believers of “the right tool for the right job.” Our main technologies include Node.js, Java, C, MongoDB, Redis, Solr and more, but that doesn’t mean we aren’t open to other technologies.

What are we looking for?

• Intermediate to expert level in one or more of the following domains: Natural Language Processing, Machine Learning, Information Retrieval.
• Hands-on experience with at least one of the following tasks: Named Entity Recognition, Keyword Extraction, Classification, Topic segmentation, Sentiment analysis, Content based recommendation
•  Intermediate to expert level fluency in at least one object ­oriented programming language (Java preferred)
•  Individuals comfortable working as both a software engineer and an applied researcher
• Production ­level experience with at least one of the following:
• NLP tools like Stanford CoreNLP or Apache OpenNLP
• Text Analysis Architecture frameworks like Sheffield GATE or Apache UIMA
• Machine learning tools like Waikato Weka or Apache Mahout
• Search engines like Apache Lucene/ Solr

What would you be responsible for?

• Designing and developing algorithms, models, and pipelines that empower text analysis, information extraction and information retrieval based on Natural Language Processing and Machine Learning techniques.
• Designing, implementing and documenting text analysis ­driven APIs for use by other engineers
• Collaborating with your team on new ideas or improving existing ones
• Helping us grow our engineering team
• Teaching and mentoring other engineers, especially around content intelligence related
• technologies
• Collaborating with your team on new ideas or improving existing ones
• Being included in the on­-call rotation for production support
• Helping us grow our engineering team 

About Digital Strategy & Initiatives:

The Digital Strategy & Initiatives Team at Condé Nast is a multidisciplinary group of designers, strategists, researchers, product managers and engineers dedicated to creating and building innovative, user-centric solutions.  Focused on crafting transformative experiences for existing and emerging products, the DS&I team shapes and drives the digital strategy across Condé’s portfolio of brands.