Staff Machine Learning Engineer, Listings and Host Tools Data and AI

8+ years of industry experience in applied Machine Learning Inclusive MS or PhD in relevant fields Experience in both Natural Language Processing and Computer Vision Strong programming (Scala / Python / Java/ C++ or equivalent) and data engineering skills Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection) Deep understanding of algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization, state-of-art NLP and CV algorithms) Deep understanding of domains (eg. natural language processing, computer vision, personalization and recommendation, anomaly detection) Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), data warehouse (eg. Hive) Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models Industry experience integrating ML models to product use cases Exposure to architectural patterns of a large, high-scale software applications Experience with test driven development Familiar with A/B testing, incremental delivery and deployment

Work with large scale structured and unstructured data Build and continuously improve cutting edge Machine Learning models Partner closely with data science, product partners, and other ML + data engineers Identify opportunities for business impact Understand, refine, and prioritize requirements for machine learning models Drive engineering decisions Quantify impact Prototype machine learning use cases for use in the product Develop, productionize, and operate Machine Learning models and pipelines at scale Design and build services, API to enable serving ML model driven data to product use cases