Staff Machine Learning Engineer, Ads Measurement Modeling

Responsibilities

• Lead the technical strategy and architecture for our company’s ads identity modeling solutions and other related ads measurement models
• Oversee end-to-end ML workflows—from data ingestion and feature engineering to model training, evaluation, and deployment—optimizing for performance and cost
• Establish engineering best practices, code quality standards, and data governance guidelines to ensure maintainability and trustworthiness of the identity graph
• Mentor and coach junior engineers, fostering a culture of innovation, technical excellence, and knowledge sharing across the organization Benefits:

Requirements

• With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
• Reddit has a flexible first workforce!
• We are looking for an IC5 Staff ML Engineer of Ads Identity Modeling, to define long term direction and drive architecture evolution, be responsible for engineering quality and enforce best practice, lead new exploration and cross-org collaboration in new modeling initiatives, and champion ML/AI innovation to ensure the solutions utilize SOTA ML technology.
• experience architecting and building ads measurement modeling solutions leveraging advanced machine learning techniques
• Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries for feature engineering, model training, and inference
• Solid understanding of large-scale data processing, distributed computing, and data infrastructure (e.g., Spark, Kafka, Beam, Flink)
• Additionally, Reddit offers a wide range of
• In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI).

Experience

• 7+ years of professional software engineering experience, with at least 3+ years focused on ML-driven systems at scale Demonstrated

Benefits