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Senior Software Engineer, Machine Learning Platform
AWSTerraformAmazon KinesisApache KafkaApache FlinkApache SparkDockerKubernetesCUDAPythonGoScalaJavaDevOpsInfrastructure as CodeDistributed Systems
About the role
Chime’s Machine Learning Platform (MLP) team builds and operates the infrastructure, tooling, and developer experience that powers machine learning across the company. We enable data scientists and ML engineers to develop, train, deploy, and monitor models reliably and efficiently. As a Machine Learning Platform Engineer, you will design and build scalable systems that support model training, feature computation, real-time inference, and experimentation. You’ll work at the intersection of分布式系统,
Requirements
5+ years of experience in ML infrastructure, platform engineering, or production ML systems. Knowledge of the machine learning model development lifecycle, including data preprocessing, model training, evaluation, and deployment. Experience with distributed systems, cloud computing, or large-scale data processing. Strong foundation in computer science and software engineering principles. Deeply interested in the impact and evolution of advanced AI technologies. Hands-on experience with CI/CD,
About the company
Chime Financial
Chime is an online financial technology company that offers banking services to its customers. It operates in the fintech industry, providing a mobile-first banking experience focused on user-friendliness and affordability. Chime aims to simplify banking by eliminating hidden fees and providing essential tools for managing finances.
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