Reddit is a network of more than 100,000 communities where people can dive into anything through experiences built around their interests, hobbies and passions. Reddit users submit, vote and comment on content, stories and discussions about the topics they care about the most. From pets to parenting, there’s a community for everybody on Reddit and with more than 50 million daily active uniques, it is home to the most open and authentic conversations on the internet. For more information, visit redditinc.com.

We’re evolving and continuing our mission to bring community, belonging, and empowerment to everyone in the world. Providing a delightful and relevant experience to our users applies to our Ads like all of our offerings, and we’re excited to build a product that is best-in-class for our users and advertisers. The year ahead is a busy one! This is a general post for multiple teams. If any of these points resonate, don’t hesitate to apply and learn more about what we’re working on. 

Within Reddit Ads we aim to enhance the user experience by enabling users to discover products and services that are relevant to their interests and communities on Reddit. The mission of the Ads Quality team is to improve Redditors’ browsing experience on our platform, from the moment an ad is presented, to post click events that may lead to further actions on advertisers’ products. The effort is to help combat ad blindness and fatigue, in return, increase CTR for high quality ads and encourage a healthier bidding environment for all advertisers.

As the Software Engineer for Ads Quality, you will seek out and champion opportunities to improve the value for users and advertisers on Reddit and you will build and maintain the development of the next generation of the Ads Quality platform.

Some areas of opportunity you would be working on include:

• Ad matching - what ad to show to a user given the current context. Includes engagement prediction models, features, content, ad and user classification. 
• Ad load - how often and when should we show ads on Reddit?
• User and content classification - inferring information about users and content to enable advertisers to target potential customers.

As an early member of this mission driven team, you will have lots of ownership and impact to shape our ads business to support overall Reddit's mission. Not only will your work directly impact hundreds of millions of users around the world, but your output will also shape the future of Ads on the Reddit platform! Technologies you might work with include:

• Languages: Scala, Go, Python
• Frameworks: Spark, Thrift, Kafka
• Datastores: Postgres, Cassandra, Druid, Redis, BigQuery
• Tools: Kubernetes, Argo, Docker

If you appreciate real technical challenges and you'd like to be part of the team that transforms Reddit Ads into a world class platform and a highly effective marketplace, come join us!

Note: we are open to candidates based and authorized to work anywhere in the United States or Canada

 Responsibilities:

• Work with product managers to design and implement Ads products.
• Collaborate closely with the platform and data teams while building new features.
• Lead the processes needed to improve operational stability, including improving code quality, delivering dashboards and data visualizations.
• Build extendable components that would align with the product objectives. 
• Support day to day project management tasks including communicating project updates, managing project timelines and overseeing project execution.  

Qualifications:

• 5+ years of software development experience in one or more general purpose programming languages (Java, Scala, Go, C++, Python).
• Ads Quality and Ads Relevance experience
• Able to take complete ownership of a feature or project.
• Good understanding of large scale backend service design.
• An interest in the advertising business and understanding customer needs is a plus.

Strong plus:

• Ads ML experience
• Have led analysis and implementation of features and signals.
• Have written production code to ship models to millions of users.
• Proven ML experience working with cross functional teams (product, data science, etc)
• MSc or PhD in computer science or related field