Senior Machine Learning Engineer

Summary

Join Reddit's Ads team as a Machine Learning Engineer and significantly contribute to the company's business success. This hands-on role encompasses the entire ML system lifecycle, from initial research and modeling to deployment and optimization in a production environment. You will design, build, and deploy industrial-level machine learning models to address crucial challenges in ad ranking, bidding, and optimization. The position requires close collaboration with product managers, data scientists, and engineers to translate business needs into effective ML solutions. You will also be responsible for improving the reliability and stability of ML systems and researching cutting-edge ML techniques. Your work will directly impact how Reddit delivers relevant ads and drives value for advertisers.

Requirements

• At least 3+ years of end-to-end experience in training, evaluating, and deploying machine learning models in a production environment
• Proficient in one or more general-purpose programming languages (e.g., Python, Scala) and have a solid understanding of software development best practices
• Hands-on experience with a major machine learning framework (e.g., TensorFlow, PyTorch) and a deep understanding of core ML concepts and algorithms
• Proven ability to work effectively with cross-functional teams, including product managers and data scientists, to translate business needs into technical solutions
• Track record of using machine learning to drive key performance indicator (KPI) wins and solve complex, real-world problems

Responsibilities

• Design, build, and deploy industrial-level machine learning models to solve critical problems in ad ranking, bidding, and optimization
• Take full ownership of the ML lifecycle, from ideation and research to building scalable serving systems and maintaining models in production
• Perform systematic feature engineering to transform raw, diverse data into high-quality features that drive model performance
• Work closely with product managers, data scientists, and engineers to translate business challenges into effective ML solutions
• Improve the reliability and stability of our ML systems by building robust monitoring, alerting, and automated retraining pipelines
• Research new algorithms, stay up-to-date with state-of-the-art ML techniques, and contribute to the team’s strategy and roadmap

Preferred Qualifications

• Experience working in the Ads domain
• Experience or interest in the advertising business and understanding customer needs
• An advanced degree (MS/PhD) in a quantitative field
• Familiarity with distributed systems and large-scale data processing technologies (e.g., Spark, Kafka)