Staff Machine Learning Engineer, Ads Auction (Ads Marketplace Quality) at Reddit

This role is designed for a heavyweight Machine Learning leader with a deep background in **Ads Marketplace** dynamics. While the seniority is listed as "mid-level," the requirements demand a true "Staff" level profile: at least 8 years of industrial experience, with 5+ years specifically dedicated to high-scale marketplace optimization, auction theory, and pricing mechanisms. You should be equally comfortable architecting complex ML workflows and leading cross-functional strategy for a three-sided marketplace (users, advertisers, and the platform). The compensation is a major highlight, offering a base salary up to **$322,000**, plus equity and commissions. The role is **fully remote** within the US, providing significant flexibility while still offering access to physical offices if desired. You’ll be joining a growing team with high visibility, directly impacting the core revenue engine of one of the internet’s largest communities. **You might be a good fit if you...** * Have successfully shipped and scaled auctions or pricing algorithms for a major digital advertising platform. * Are proficient with the "big data" stack (Spark, Kafka) and ML frameworks like TensorFlow or PyTorch. * Can translate complex marketplace data into a long-term technical vision and mentor both junior and senior engineers. * Want to influence the architectural direction of a global social platform’s ads ecosystem.