Job Description
A Software Engineer on the ML Platform team will lead the effort to build systems that enable AI R&D teams to deliver secure, highly scalable, distributed services. This role involves leveraging technologies like Kubeflow, Kubernetes, Helm, and Terraform, along with Python, to construct inference systems, infrastructure, and training pipelines. The engineer will create deployment pipelines, taking code from git to production, and build infrastructure that enables fast, robust automated testing and validation. Improving the performance and reliability of existing systems and coaching junior engineers are also key responsibilities. The ideal candidate will have experience with MLOps infrastructure, scalable inference service construction, and establishing monitoring best practices.
About Motive
Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable.