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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 practices for data management
Participating in code reviews: You will review code written by other team members and provide feedback to ensure that it meets the team's standards for quality and performance.
Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.
Required Qualifications:
5+ years of industry experience as a Software Engineer developing production code
Experience with at least one general programming language such as Ruby or Python
Preferred Experience in one or more of the following areas: Message Queuing Services (Kafka, Amazon Simple Queue Service), Data Processing Frameworks (Apache Spark, Apache Flink), Key Value Stores (Redis, DynamoDB), Document based DBs (MongoDB, Cassandra), Container Orchestration (Kubernetes, Mesos)
Familiarity with algorithms and data structures, and the ability to apply them to solve complex problems.
Excellent communication skills, both written and verbal, and the ability to work effectively with product managers, data scientists, and other stakeholders
A willingness to learn and stay up-to-date with new technologies and best practices in the field.
Preferred Qualifications:
Experience with Python, Ruby, Rails, Kafka, Airflow, Kubernetes
Experience with Ads
Experience with Natural Language Understanding (ML science and infra)
Experience building scalable data-driven systems
Benefits:
Comprehensive Healthcare Benefits
401k Matching
Workspace benefits for your home office
Personal & Professional development funds
Family Planning Support
Flexible Vacation (please use them!) & Reddit Global Wellness Days
4+ months paid Parental Leave
Paid Volunteer time off
