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# Software Engineer, Machine Learning Infrastructure - USDS

- **Company:** Tiktok Usds
- **Location:** San Jose, CA, United States
- **Salary:** $136,800.0
- **Contract:** Permanent contract
- **Skills:** Amazon S3, Big Data, Computer Engineering, Linux, Distributed Systems, Apache Hadoop, Hadoop Distributed File System, MapReduce, Python (Programming Language), Machine Learning, Open Source Technology, Systems Development Life Cycle, Redis, Tensorflow, Mesos, Software Engineering, AI Infrastructure, Apache Yarn, Pytorch, Apache Spark, Kubernetes, Information Technology, Apache Flink, Machine Learning Operations, Celery, Software Coding, Data Pipelines, Programming Languages
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25304_294f20b29638af96a6921622f60216b1

## About the Role

* 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., * 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.

## Description

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 & e-comm 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.

 * 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.