Senior Machine Learning Engineer, Ads Targeting

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“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 people, 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 - join us! 

Ads Targeting ML engineers are focused on designing and implementing ML systems and solutions for improving targeting products. The team’s projects involve building large-scale offline & online retrieval systems across several dimensions to improve contextual & behavioral targeting for targeting products.

As a senior machine learning engineer in the ads targeting core team, you will execute our mission to automate targeting and deliver the most relevant audiences to advertisers under the right context with data and ML-driven solutions. 

Your Responsibilities:

• Own end-to-end execution of ML-based targeting products like smart targeting expansion, keyword targeting, auto targeting, user lookalikes etc
• Own offline & online experimentation of ML models for improving targeting products to drive advertiser outcomes
• Research, implement, test, and launch new model architectures for retrieval using deep learning (GNNs, transformers, two tower models) with a focus on improving advertiser outcomes
• Drive technical roadmaps and lead day to day project execution, and contribute meaningfully to team vision and strategy
• Work on large scale data systems, backend services and product integration
• Collaborate closely with multiple stakeholders cross product, engineering, research …