Machine Learning Engineer, Ads

Overview

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. Reddit is one of the internet’s largest sources of information. Reddit has a flexible workforce. If you live close to an office, you may work from the office as often as you’d like.

If you don’t live near an office, you can apply to work remotely in any country where we have a physical presence. We’re evolving and continuing our mission to bring community, belonging, and empowerment to everyone. The year ahead is a busy one.

We’re excited to build a product that is best-in-class for our users and advertisers, with a focus on delivering a delightful and relevant experience for all.

Reddit is poised to rapidly innovate and grow. We’re hiring across multiple teams including:
Ads Measurement Modeling, Ads Targeting & Retrieval, Advertiser Optimization and Ads Marketplace Teams.

This horizontal ML team in the Ads Measurement org works on proving the value of Reddit Ads to advertisers while ensuring privacy compliance. Their projects address challenges in signals, privacy, and identity, including Modeled Identity, Modeled Conversions, and enhancements for ATT opt-out utility.

This team designs and builds large-scale ML systems to improve targeting products. Their work spans offline and online retrieval systems that enhance contextual and behavioral targeting, helping advertisers reach the most relevant audiences.

This group consists of two horizontal teams focused on advertiser outcomes. The Recommendations and Forecasting team builds ML-driven tools for advertisers and sales, while the Bidding/Pacing team develops algorithms and customer-facing products like TCPA, TROAS, and performance advertising solutions. They work on marketplace dynamics, bidding and pacing innovations, and new advertiser tools.

This team improves the efficiency of Reddit’s ads marketplace by developing algorithms for auction and pricing optimization, directly impacting advertiser and user value. They also contribute to strategic initiatives such as supply optimization and ad relevance, with the goal of showing the right ads to the right users at the right time and in the right context.

This team is a newly formed group aimed at improving ad creative at Reddit through generative and predictive products. We train, adapt and finetune LLMs/VLMs to help advertisers make impactful images, videos and text. We build performance predictors to understand and rank ad components, ensuring the advertiser ships the best possible campaigns. We construct insight and recommendation engines to guide advertisers towards best practices and key enhancements, distilling knowledge about what works at Reddit to supercharge their performance.

This team is at the heart of Reddit’s creative strategy, a core priority for the organization.

Join the Ads team as a Machine Learning Engineer and become a key contributor to Reddit’s business. In this hands-on role, you will be responsible for the full lifecycle of our ML systems, from initial research and modeling to deployment and optimization in production. Your work will directly impact how we deliver relevant ads and drive value for our advertisers across areas like ad ranking, bidding, measurement, and optimization
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• Design, build, and deploy industrial-level machine learning models to solve critical problems in ad ranking, bidding, and optimization.
• Take full ownership of the ML lifecycle, from ideation and research to building scalable serving systems and maintaining models in production.
• Perform systematic feature engineering to transform raw, diverse data into high-quality features that drive model performance.
• Work closely with product managers, data scientists, and engineers to translate business challenges into effective ML solutions.
• Improve the…