Senior Staff Machine Learning Infrastructure Engineer – Search & Discovery

Sourced from jobs-radar.com

• Proactively drive the execution of end-to-end data platform and data quality roadmap for Search & Discovery ML efforts
• Take ownership, consolidate and optimize core data logging, processing, and ML model training pipelines
• Develop and scale data infrastructure for batch and real-time data processing, monitoring, and debugging for ML experiments
• Drive design and implementation of scalable ML-based ranking system and online ML inference services
• Build cross-functional partnerships with Data Scientists, Analysts, Product Managers, and Engineers
• Research and select technical approaches; coach and mentor other engineers

• Bachelor's degree in computer science, electrical engineering, mathematics, statistics or related field
• 8+ years professional experience in applied machine learning
• Experience in machine learning, deep learning, and statistical modeling