Senior Staff Machine Learning Engineer

Summary

Join Reddit's Ads Marketplace Quality team as a Senior Staff Machine Learning Engineer and lead the development and execution of strategies to improve our Ads Marketplace. You will leverage your expertise in ads marketplace dynamics, auction, and pricing to build end-to-end algorithmic solutions. This role requires strong technical leadership, collaboration with cross-functional teams, and a proven track record of optimizing large-scale marketplaces. You will mentor junior and senior engineers, driving architectural decisions and influencing stakeholders. The position offers a competitive salary and a comprehensive benefits package.

Requirements

• 8+ years of experience with industry-level product development, with at least 5+ years focused on data-driven, marketplace-optimization problem space at scale
• Strong knowledge of ads marketplace optimization. Demonstrated experience architecting ads marketplace design, improving and optimizing ads auction and pricing mechanisms
• Solid understanding of large-scale data processing, distributed computing, and data infrastructure (e.g., Spark, Kafka, Beam, Flink)
• Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries for feature engineering, model training, and inference
• Proficiency with programming languages (Java, Python, Golang, C++, or similar) and statistical analysis
• Proven technical leadership in cross-functional settings, driving architectural decisions and influencing stakeholders (product, data science, privacy, legal)
• Excellent communication, mentoring, and collaboration skills to align teams on a long-term vision for ads marketplace optimization

Responsibilities

• Lead and oversee the strategy development, quarterly planning and day-to-day execution of initiatives related to ads marketplace, auction and pricing
• Proactively further our understanding of marketplace dynamics and develop algorithms to improve the efficiency and effectiveness of our ads marketplace, auction and pricing
• Oversee end-to-end ML workflows—from data ingestion and feature engineering to model training, evaluation, and deployment—that optimizes the ads marketplace efficiency
• Be a mentor, lead both junior and senior engineers in implementing technical designs and reviews. Fostering a culture of innovation, technical excellence, and knowledge sharing across the organization
• Be a cross-functional advocate for the team, collaborate with cross-functional teams (e.g., product management, data science, PMM, Sales etc.) to innovate and build products

Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k Match
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Reddit Global Days off
• Generous paid Parental Leave
• Paid Volunteer time off
• Medical, dental, and vision insurance
• 401(k) program with employer match
• Generous time off for vacation
• Parental leave