Reddit is hiring a
Staff Machine Learning Engineer

Summary

The job is for a Staff Machine Learning Engineer at Reddit's Ads Targeting Quality team. The role involves designing and implementing ML systems to improve targeting products, with a focus on automation and delivering relevant audiences to advertisers. The position requires experience in deep learning models, large scale data processing, and cross-functional collaboration.

Requirements

• Tech lead experience in a product ML team driving the research and technical direction to improve business outcomes using applied ML
• Experience with ads retrieval modeling, ranking or recommendation systems
• Experience with deep learning models for retrieval (two tower, GNNs, transformers, LLMs)
• 5+ years of end-to-end experience of training, evaluating, testing, and deploying machine learning models
• 2+ years of experience building machine learning models with Tensorflow/Pytorch
• Experience with large scale data processing & pipeline orchestration tools like Spark, Dataflow, Kubeflow, Airflow, BigQuery
• Experience working with nearest-neighbor search systems is a big plus
• Experience working with cross functional stakeholders across research, product & infrastructure to productize ML research
• Tech lead experience in a product team is strongly preferred

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, lead day to day project execution, and contribute meaningfully to team vision and strategy
• Be a thought leader for the team and collaborate closely 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 cross product, engineering, research and marketing

Benefits

• Comprehensive Health benefits
• Retirement Savings plan with matching contributions
• Workspace benefits for your home office
• Personal & Professional development funds
• Family Planning Support
• Flexible Vacation & Reddit Global Days Off