Senior Machine Learning Engineer, Ads
RedditLocation🌍United States
Job Type💼Full‑time
Salary💵50k-100k
Posted📅41 days ago
Engineeringmachine-learningml-engineeringadsscalabilitymlopsprivacy
About the Role
Join Reddit's Ads Machine Learning team as a Senior ML Engineer, where you'll build best-in-class ad products that deliver delightful and relevant experiences for users and advertisers. This role offers a unique opportunity to contribute to Reddit's rapid innovation and growth, and is open to candidates working remotely within the United States.
Responsibilities
- Design, develop, and optimize highly reliable, scalable, and efficient machine learning systems for ads.
- Contribute to the long-term architecture and tight integration of ML serving stacks with core ads infrastructure.
- Implement and improve ML models for various ads domains, including prediction, targeting, measurement, and attribution.
- Focus on CPU/GPU performance optimization and enhance model velocity through observability libraries and quality gating tools.
- Develop solutions for user identity, privacy-preserving measurement, and experimentation platforms.
- Collaborate with cross-functional teams to ensure privacy compliance and deliver impactful advertising solutions.
Requirements
- Strong experience in Machine Learning Engineering, particularly within the ads, recommendation systems, or related fields.
- Proven track record of building and deploying scalable, high-performance ML systems in production.
- Expertise in ML serving architectures, distributed systems, and performance optimization.
- Familiarity with MLOps practices, including model observability, quality gating, and deployment pipelines.
- Experience with data privacy considerations, attribution modeling, or experimentation platforms is highly desirable.
- Ability to thrive in a fast-paced, innovative environment and contribute to a flexible, remote-first culture.
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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