Software Engineer, Infrastructure [Early Career]
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The role
Role: Design and build core backend infrastructure that supports distributed training, inference, and data pipelines. Develop and maintain services such as job schedulers, autoscalers, resource managers, and model serving systems. Optimize performance, reduce costs, and improve reliability across compute, storage, and networking. Collaborate with ML, DevOps, and product teams to translate research and product needs into robust infrastructure solutions. Learn and apply modern cloud technologies including Kubernetes, Ray, Kubeflow, and MLFlow, and participate in code reviews and CI/CD processes. This role offers hands-on growth in infrastructure, distributed systems, and large-scale ML platforms.
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