Senior Software Engineer, Ads Contextual Intelligence

Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 82M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit redditinc.com.

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The Ads Contextual Intelligence team is responsible for all the “contextualization” projects within the Reddit Monetization charter. We are in charge of making sense of all user and advertiser generated content in an automated fashion at scale, providing the right combination of signals to improve marketplace efficiency and bringing to the surface Business Intelligence insights. Our team has the potential to highlight one of Reddit's biggest differentiators: genuinely curated, high quality, extremely relevant, and daily updated organic content. We are a Machine Learning/Data heavy team with a focus in the following areas:

• Knowledge Graph - Semi-automatic curation, expansion, and utilization of Reddit very own Knowledge database. NLP tokenization, NER models, disambiguation systems at KG node level.
• Contextual Signals - Make sense of Posts, Landing pages, Ads Placements, Organic Topics using team owned engines in combination with other Reddit’s content understanding teams.
• Marketplace Efficiency - Helping Targeting, Prediction, and Quality deliver best in class performance leveraging our Contextual Signals
• Business Intelligence Applications - Bring Contextual Signals (Web, APIs, Custom Reporting) to our Advertisers to empower a new generation of Business Intelligence and help Brands understand Reddit better

Responsibilities

• Implementing backend services and data processing pipelines:: You will work on extracting, transforming, combining, and exposing data from various content & content-understanding sources, internal and external
• Collaborate with peer ML Engineers: you will help define and consolidate ML systems, pre & post processing data flows, and possibly architect ML Infrastructure refactors along the way
• Ensuring the reliability, scalability, and performance of the backend systems by writing automated tests, monitoring performance, and implementing best …