Rhoda AI
Research Member of Technical Staff - Training Platform
$200K–$300K
Mountain View · Staff · Full-time · Posted May 18, 2026
About the job
Build and maintain the training platform and infrastructure researchers use to run, monitor, and analyze large-scale model training experiments.
What you'll do
- Build distributed training orchestration, experiment management, and artifact tooling across GPU clusters.
- Develop observability for training runs, including utilization, training statistics, and anomaly detection.
- Improve research iteration speed and GPU cluster utilization through scheduling, automation, and internal tools.
What they ask for
- Strong software engineering skills and experience with MLOps or ML platform engineering.
- Familiarity with distributed training frameworks such as PyTorch DDP, FSDP, DeepSpeed, or Megatron.
- Experience building experiment tracking, reproducibility, and artifact management systems.
- Experience operating GPU clusters and reliability systems, including monitoring, alerting, and failure recovery.
Nice to have
- Experience with training orchestration or experiment tracking tools.
- Experience supporting large-model training pipelines, parallelism strategies, or cloud-based training infrastructure.
Pay
$200K – $300K USD base salary
Tools
PyTorch DDP, FSDP, DeepSpeed, Megatron, Slurm, Kubernetes, Ray, Weights & Biases
AI focus
The platform supports model research and large-scale distributed training, including pipelines for LLMs, VLMs, and video models.
Model-written summary · the original posting is authoritative