Software Engineer - Machine Learning Infrastructure - USDS

Descripción del puesto:

About the team The mission of our AML team is to push the next-generation AI infrastructure and recommendation platform for the ads ranking, search ranking, live & ecom ranking in our company. We also drive substantial impact on core businesses of the company. Currently, we are looking for Machine Learning Engineer - Machine Learning Infrastructure to join our team to support and advance that mission. In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time. Responsibilities: - Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models. - Responsible for improving use-ability and flexibility of the machine learning infrastructure. - Responsible for improving the workflow of model training and serving, data pipelines, storage system and resource management for multi-tenancy machine learning systems. - Responsible for designing and developing key components of ML infrastructure and mentoring interns

Requerimientos del candidato/a:

Minimum Qualifications - Bachelor's/Master's degree in Computer Science, Computer Engineering, or related fields or equivalent years of experience in a software engineering role - Proficient in at least one programming language such as Go/Python in Linux environment, with excellent coding skills. - Familiar with open source distributed scheduling/orchestration/storage frameworks, such as Kubernetes (K8S), Yarn (Flink, MapReduce), Mesos, Celery, HDFS, Redis, S3, etc., with rich practical experience in machine learning system development. - Experience in developing and deploying large-scale systems. Preferred Qualifications - Experience contributing to an open sourced machine learning framework (TensorFlow/PyTorch). - Experience in big data frameworks (e.g., Spark/Hadoop/Flink), experience in resource management and task scheduling for large scale distributed systems. As a condition of employment, all successful candidates must be able to establish authorization to work in the United States. For this position, the Company does not provide sponsorship for any immigration-related benefits