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Position: Machine Learning Engineer - Machine Learning Infrastructure
Institution: TikTok
Location: United States
Duties: 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
Requirements: 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; Master the principle of distributed systems and participate in the design, development and maintenance of large-scale distributed systems
   
Text: Machine Learning Engineer - Machine Learning Infrastructure 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 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; Master the principle of distributed systems and participate in the design, development and maintenance of large-scale distributed systems
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