About this role
Join a dynamic team as an ML Infrastructure Software Engineer focused on building and enhancing the systems that power machine learning. You will collaborate with researchers and engineers to streamline experimentation, training, and deployment, ensuring reliability and peak performance. This role offers the opportunity to lead architectural decisions and drive innovation in large-scale compute environments.
What we are looking for 6
- Design and build infrastructure for ML model training and production serving
- Develop reliable pipelines and shared tools for managing ML workloads
- Improve compute utilization, scheduling, and performance in distributed systems
- Utilize profiling and monitoring to troubleshoot and optimize systems
- Automate testing and measurement for consistent change assessment
- Lead architectural decisions and drive projects from design to operation