Reddit, Inc.Remote
Staff Machine Learning Engineer, Ads Auction (Ads Marketplace Quality)
United States of America
Full Time
3 weeks ago
$230,000 - $322,000 USD
H1B Sponsor Likely
Key skills
Ads marketplace optimizationMachine learning frameworksLarge-scale data processingProgramming languagesCollaboration skillsPythonJavaC++CGolangMachine LearningMLPyTorchTensorFlowSparkKafkaStatistical AnalysisLeadershipMentoringProduct ManagementCommunicationCollaborationSales
About this role
Reddit is a community-driven platform with over 121 million daily active users, and they are seeking a Staff Machine Learning Engineer for their Ads Marketplace Quality team. This role involves developing and executing strategies to enhance the efficiency of Reddit's ads marketplace through algorithm development and optimization of auction and pricing mechanisms.
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
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