Reddit, Inc.Remote
Staff Machine Learning Engineer, Ads Auction (Ads Marketplace Quality)
United States
Full Time
3 hours ago
$230,000 - $322,000 USD
H1B Sponsor Likely
Key skills
PythonJavaC++CGolangMachine LearningMLPyTorchTensorFlowSparkKafkaStatistical AnalysisLeadershipMentoringProduct ManagementCommunicationCollaborationSales
About this role
Reddit is a community of communities and is seeking a Staff Machine Learning Engineer for their Ads Marketplace Quality team. This role involves developing and executing a vision to improve the Ads Marketplace, focusing on optimizing auction and pricing mechanisms to enhance user and advertiser experiences.
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