Machine Learning Engineer, Ads
RedditLocation🌍United States
Job Type💼Full‑time
Salary💵50k-100k
Posted📅41 days ago
Engineeringmachine-learningad-techdata-scienceprivacyml-engineeringremote
About the Role
Join Reddit's rapidly innovating Ads team as a Machine Learning Engineer to build best-in-class ad products that deliver delightful and relevant experiences for users and advertisers. This role offers the opportunity to contribute to large-scale ML systems in a flexible, remote-friendly environment across the United States.
Responsibilities
- Design, develop, and deploy large-scale machine learning systems for ad targeting, retrieval, and optimization.
- Build and enhance ML models for ad measurement, attribution, and conversion modeling, ensuring privacy compliance.
- Address complex challenges related to signals, identity, and privacy in advertising solutions.
- Collaborate with cross-functional teams to deliver impactful ad products.
About the Team
Reddit's Ads organization is experiencing unprecedented growth and innovation, with opportunities across multiple key teams. As a Machine Learning Engineer, you could contribute to:
- Ads Measurement Modeling Team: This team focuses on proving the value of Reddit Ads to advertisers while ensuring privacy compliance, working on projects like Modeled Identity and Modeled Conversions.
- Ads Targeting and Retrieval Team: This team designs and builds large-scale ML systems to enhance targeting products, spanning both offline and online applications.
Requirements
- Strong background in machine learning, including model development, evaluation, and deployment.
- Experience with large-scale data processing and distributed systems.
- Proficiency in programming languages commonly used in ML (e.g., Python, Scala, Java).
- Understanding of ad technology, privacy principles, and their application in machine learning.
- Ability to work effectively in a fast-paced, evolving environment.
About Reddit
View companyReddit is an online platform that enables users to submit links, create content, and have discussions about the topics of their interest.
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