Find jobs
Pricing
Sign in
FIND JOBSPRICINGSIGN INSIGN UP
← Back
RH
Rhoda AI

Research Member of Technical Staff - Training Platform

LocationMountain View
Work modeon-site
Typefull-time
DepartmentResearch
EquityIncluded
Company size51+ people
First seen2mo ago
Last seen17h ago
About the company
At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We’ve raised over $450M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality.
About the role
We’re looking for a Research Engineer to build and maintain the training platform that powers our model development — experiment orchestration, job management, observability, and the tooling that lets researchers move from idea to result as fast as possible.
What You’ll Do
•
Build and maintain training orchestration systems for large-scale distributed model training across GPU clusters
•
Develop experiment management tooling: job configuration, tracking, reproducibility, and artifact management
•
Build observability infrastructure for training runs: loss curves, compute utilization, gradient statistics, and anomaly detection
•
Optimize and automate the research iteration loop from experiment launch to results analysis
•
Manage job scheduling and cluster utilization for efficient use of GPU compute
•
Build internal tooling and interfaces that help researchers move faster
•
Collaborate with training systems, data infrastructure, and research teams to support their platform needs
What We’re Looking For
•
Strong software engineering skills with experience in MLOps or ML platform engineering
•
Familiarity with distributed training frameworks (PyTorch DDP, FSDP, DeepSpeed, Megatron, or similar)
•
Experience building experiment tracking, reproducibility, and artifact management systems
•
Comfortable managing and operating GPU cluster environments (Slurm, Kubernetes, or similar)
•
Strong reliability engineering instincts: monitoring, alerting, and failure recovery
Nice to Have (But Not Required)
•
Experience with training orchestration tools (Slurm, Ray, Kubernetes, or similar schedulers)
•
Familiarity with experiment tracking tools (Weights & Biases, MLflow, or custom solutions)
•
Experience supporting large model training pipelines (LLMs, VLMs, or video models)
•
Understanding of parallelism strategies and how they affect training efficiency and debugging
•
Experience with cloud-based training infrastructure (AWS, GCP, or Azure)
Why This Role
•
Your platform is the daily tool every researcher and engineer uses to train models
•
Improvements to training velocity and reliability compound across every experiment the team runs
•
High visibility with direct feedback from researchers and ML engineers
•
Build systems that scale from today’s models to future frontier training runs
More roles at Rhoda AI
Field Robotics Deployment LeadSenior MTS: TPM - Industrial ProgramsSenior UX/UI DesignerResearch Evaluation LeadRobotics Test Engineer
Seekless
Product
Find jobsCompaniesPricing
Legal
PrivacyTermsCookies
© 2026 SEEKLESS, INC. ALL RIGHTS RESERVED.BUILT WITH CARE