- San Francisco, California, United States
- On-site
- Full-time · Senior
Seeking an experienced ML Infrastructure Software Engineer to build and improve infrastructure for machine learning workloads, supporting experimentation, training, evaluation, and production deployment.
Responsibilities
- Design and build infrastructure for model training and production serving
- Develop reliable pipelines and shared tools for ML workloads
- Improve compute utilization, workload scheduling, and performance across distributed systems
- Use profiling and monitoring to identify bottlenecks, troubleshoot failures, and guide improvements
- Automate testing and measurement to help teams assess changes consistently
Requirements
- Nice to have: Large language model workloads