Software Engineer – ML Platform

What this role involves

The ML Platform team at Avride builds infrastructure for large-scale ML training and data processing for autonomous driving. The engineer will own critical pieces of the ML stack including workflow orchestration, distributed execution, and resource governance on Kubernetes. They will work directly with ML teams to debug issues and improve platform efficiency.

Skills this posting asks for

• python
• go
• c++
• kubernetes
• linux
• argo workflows
• ray
• mlflow
• distributed ml tooling
• gpu scheduling
• distributed training
• training data pipelines
• observability
• apis
• reliability practices

Requirements

• Remote policy: onsite
• Visa sponsorship: no

From the employer’s posting

About the team The ML Platform team at Avride builds the infrastructure that powers large-scale ML training and data processing for autonomous driving. We sit between Cloud Platform and ML engineers, turning low-level compute, storage, and networking primitives into an ML platform that…