Staff Machine Learning Engineer, Ads Targeting

Position Overview

• Location Type: (Not specified)
• Employment Type: (Not specified)
• Salary: (Not specified)

Reddit is a community-driven platform focused on shared interests and authentic conversations. It hosts over 100,000 communities and attracts approximately 101M daily active unique visitors. The company is focused on evolving its mission to provide a delightful and relevant experience for users and advertisers. This role focuses on Ads Targeting, specifically building ML systems and solutions to improve targeting products.

Responsibilities

• Own end-to-end design and execution of ML-based targeting products like auto targeting, user lookalikes etc.
• Drive research direction and technical roadmap for complex projects, leading day-to-day project execution and contributing to team vision and strategy.
• Be a thought leader for the team, collaborating with product managers and cross-functional partners to develop and prioritize the roadmap based on data analysis, industry research, and product research.
• Research, implement, test, and launch new model architectures for retrieval using deep learning (GNNs, transformers, two tower models, LLMs) with a focus on improving advertiser outcomes.
• Provide mentorship to junior MLEs.
• Own offline & online experimentation of ML models for improving targeting products.
• Work on large-scale data systems and product integration.
• Collaborate closely with multiple stakeholders across product, engineering, research, and marketing.

Requirements

• Tech Lead Experience: In a product ML team driving research and technical direction to improve business outcomes using applied ML.
• Ads Retrieval Experience: Experience with ads retrieval modeling, ranking, or recommendation systems.
• Deep Learning Expertise: Experience with deep learning models for retrieval (two tower, GNNs, transformers, LLMs).
• Model Deployment Experience: 5+ years of end-to-end experience of training, evaluating, testing, and deploying machine learning models.
• Framework Proficiency: 2+ years of experience building machine learning models with Tensorflow/Pytorch.
• Data Processing Experience: Experience with large-scale data processing and pipeline orchestration tools.

Company Information

For more information, visit redditinc.com.