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 production. You will design, build, and deploy industrial-level machine learning models to solve critical problems in ad ranking, bidding, and optimization, taking full ownership of the ML lifecycle. Collaborate with cross-functional teams to translate business challenges into effective ML solutions and enhance the reliability and stability of ML systems. Research new algorithms, stay current with cutting-edge ML techniques, and contribute to the team's strategic direction. 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)

Benefits

• Medical, dental, and vision insurance
• 401(k) program with employer match
• Generous time off for vacation
• Parental leave