Reducto
Machine Learning Infra Engineer
$200K–$300K
San Francisco Office · On-site · Full-time · Posted Nov 3, 2026
- Experience
- 3+ years of experience.
About the job
Build and scale the training and inference infrastructure that enables high-performance machine learning across large GPU clusters.
What you'll do
- Build and maintain training and inference stacks, including benchmarks to identify bottlenecks.
- Design and scale reliable, observable multi-node, multi-GPU training and inference systems while improving utilization and cost efficiency.
- Develop tooling and observability for ML engineers, and apply advances in training and inference.
What they ask for
- Strong Python skills and a systems engineering background.
- Comfort with Kubernetes and distributed training frameworks.
- 3+ years of experience.
Nice to have
- Experience at an early-stage or high-growth startup.
- Meaningful contributions to open-source training or inference stacks.
Pay
$200K – $300K USD base salary
Tools
Python, Kubernetes
AI focus
Build and scale ML training and inference infrastructure, including distributed workloads across GPU clusters.
Model-written summary · the original posting is authoritative