Senior Staff Machine Learning Infra Engineer

BS or MS degree in Computer Science or related field, or equivalent practical experience
10+ years of experience
Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning)
Experience with Big Data tools and ETL frameworks (Hadoop, Hive, Presto, Spark, Scala, Apache Airflow, etc.)
Experience with ML frameworks such as Tensorflow and Pytorch
Experience with deploying highly robust and scalable data pipelines processing petabytes of data
Experience in managing mission critical services with high throughput and low latency
Experience with integrating applications and platforms with cloud technologies (i.e, AWS and GCP)
Strong verbal and written communication skills
Ability to conduct meetings and make professional presentations, and explain complex concepts and technical material to non-technical users

Proactively drive the execution of end-to-end data platform, data quality roadmap for Search & Discovery ML efforts
Take ownership, consolidate and optimize the Search & Discovery core data logging, processing, and ML model training pipelines
Develop and scale data infrastructure that powers 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 strong cross-functional partnerships with Data Scientists, Analysts, Product Managers, Indexing Platform Engineers, Ranking Engineers and Data Platform Engineers to understand both the offline and online needs and deliver on those needs
Research, analyze and select technical approaches for solving difficult and challenging development and integration problems, coach and mentor other engineers in process and methodologies

Experience with machine learning platform for search & discovery related rankings is a strong plus