---
title: 'Research Member of Technical Staff - Training Platform at Rhoda AI'
canonical: 'https://feeny.ai/job/research-member-of-technical-staff-training-platform-rhoda-ai-mountain-view-gjytzp3jx8k7'
type: 'job'
last_seen: '2026-09-16'
---

# Research Member of Technical Staff - Training Platform at Rhoda AI

- **Company:** Rhoda AI
- **Location:** Mountain View, CA
- **Employment:** full-time
- **Posted:** 2026-05-18
- **Last confirmed live:** 2026-09-16
- **Apply:** https://jobs.ashbyhq.com/rhoda-ai/548b52bd-2b39-48c4-9071-6555d9e19f5c/application

**Skills:** Artifact Management, Software Engineering, MLOps, Distributed Training Frameworks, Experiment Tracking, GPU Cluster Management, Slurm, Kubernetes, Reliability Engineering, Monitoring, Alerting, Failure Recovery, Ray, Weights & Biases, MLflow, LLMs, VLMs, AWS, GCP, Azure

> Build and maintain the training orchestration, experiment management, and observability infrastructure for large-scale distributed model training. The role focuses on optimizing research iteration loops, managing GPU cluster utilization, and providing internal tooling to accelerate model development.

## Job description

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. 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

## About Rhoda AI

## Company Overview
- **One-liner**: Rhoda AI builds robot foundation models that learn from internet-scale video to enable manipulation-capable robots to generalize in real-world industrial environments.
- **Entity Type**: Private (Seed + Series A; $680M total funding)
- **Headquarters**: Palo Alto, CA, United States
- **Founded**: 2024
- **Founders**: Jagdeep Singh (CEO), Eric Chan (Chief Scientist), Changan Chen (Chief Research Officer), Andrew Wooten, Gordon Wetzstein (Scientific Advisor) [rhoda.ai/team](https://www.rhoda.ai/team)

## Core Business
- **Primary industry**: Robotics, Artificial Intelligence, Hardware
- **Target customers**: B2B – industrial enterprises in automotive, manufacturing, logistics, and e-commerce
- **Mission/purpose**: “Building at the frontier of embodied intelligence” and “Designing intelligence for the real world” – deploying general-purpose robot foundation models that adapt to the variability of commercial and industrial environments. [rhoda.ai](https://www.rhoda.ai/) | [linkedin.com](https://www.linkedin.com/company/rhoda-ai)

## Products & Services
- **Rhoda Robot Platform (Hardware + Software)**: A turnkey robotic system with custom actuators (25kg rated, 40kg peak payload), safety-rated vision, wheel-base, and brakes in every actuator. The platform runs the **Direct Video Action** model, which pre-trains on over a million real-world videos and post-trains on task-specific robot data. Long-context windows enable single-shot learning from human demonstrations without retraining. [rhoda.ai](https://www.rhoda.ai/)
- **FutureVision Intelligence Layer**: A proprietary architecture that handles real-world industrial tasks autonomously by generalizing beyond conventional VLA pipelines. [rhoda.ai](https://www.rhoda.ai/)
- **Deployment Services**: End-to-end solutions for tasks such as returns processing, bearing decanting, container breakdown, and material transport in logistics and e-commerce facilities. [rhoda.ai](https://www.rhoda.ai/)

## Market Standing
- **Valuation**: Not publicly disclosed
- **Key Metric**: Total funding **$680M** – Seed round $67.4M (April 2024), Series A $162.6M (April 2025), and Series A $450M (March 2026) with 4 investors. [linkedin.com](https://www.linkedin.com/company/rhoda-ai)
- **Notable Investors/Partners**: Not individually named in available sources; partners include customers in automotive, manufacturing, logistics, and e-commerce. [rhoda.ai](https://www.rhoda.ai/)
- **Growth Signals**: Headcount growth of **+20% monthly** (LinkedIn reports 55 employees; Built In reports 73 employees – conflicting data). Talent sourced from companies like QuantumScape, Flexiv Robotics, Scale AI, Google, Meta, NVIDIA, and Stanford University. [linkedin.com](https://www.linkedin.com/company/rhoda-ai) | [builtin.com](https://builtin.com/company/rhoda-ai)

## Competitive Advantages
- **Direct Video Action architecture** with web-scale video pre-training gives a strong prior on motion, physics, and dynamics, enabling generalization beyond lab settings.
- **Custom high-performance actuators** (25kg rated, 40kg peak) with safety-rated brakes and vision – designed for 3+ years of continuous operation at rated payload.
- **Long-context in-context learning** allows the robot to perform tasks single-shot from human demonstrations without retraining.
- **Turnkey industrial deployments** that handle ambiguity and variability (e.g., debris, transparent bags, heavy boxes) – tasks customers initially believed could not be automated. [rhoda.ai](https://www.rhoda.ai/)

## Strategic Focus
- Scaling robot intelligence through a pre-training/post-training paradigm, moving from controlled labs to reliable production environments.
- Expanding commercial deployments across automotive, manufacturing, logistics, and e-commerce verticals.
- Pursuing a path to **physical AGI** by combining foundation models with custom hardware for real-world adaptability. [rhoda.ai](https://www.rhoda.ai/)

## Why Work Here
- **Culture**: “Building at the frontier of embodied intelligence” – emphasis on hard problems, first-principles thinking, and category-defining systems. [linkedin.com](https://www.linkedin.com/company/rhoda-ai)
- **Work policy**: Hybrid workspace (employees combine remote and on-site work), with offices in Mountain View and Palo Alto, CA. [builtin.com](https://builtin.com/company/rhoda-ai)
- **Engineering culture**: Strong research focus (Chief Research Officer, Chief Scientist, many research engineers/scientists). Recent job postings include Research Scientist, Robot Perception Engineer, Mechanical Engineer, Fullstack Engineer, and Product Manager. [builtin.com](https://builtin.com/company/rhoda-ai)
- **Notable perks**: Not explicitly listed, but the company is well-funded ($680M) and at an early stage (founded 2024), offering significant growth opportunity and impact.

## Sources
1. [rhoda.ai](https://www.rhoda.ai/) – Company website (product, technology, commercial applications)
2. [rhoda.ai/careers](https://www.rhoda.ai/careers) – Careers page
3. [rhoda.ai/team](https://www.rhoda.ai/team) – Leadership team and co-founders
4. [builtin.com](https://builtin.com/company/rhoda-ai) – Built In profile (employee count, offices, job listings, hybrid policy)
5. [linkedin.com](https://www.linkedin.com/company/rhoda-ai) – LinkedIn company page (funding, headcount, executive list, talent sources)

## Other roles at Rhoda AI

- [Field Robotics Deployment Lead](https://feeny.ai/job/field-robotics-deployment-lead-rhoda-ai-mountain-view-v91gfb5byq4a) — Mountain View, CA
- [Research Evaluation Lead](https://feeny.ai/job/research-evaluation-lead-rhoda-ai-mountain-view-6jz1qjdqy7h3) — Mountain View, CA
- [Senior UX/UI Designer](https://feeny.ai/job/senior-ux-ui-designer-rhoda-ai-mountain-view-tb6zs4gkw722) — Mountain View, CA
- [Senior MTS: TPM - Industrial Programs](https://feeny.ai/job/senior-mts-tpm-industrial-programs-rhoda-ai-mountain-view-7t0wq6pkbk2t) — Mountain View, CA
- [Staff Thermal Systems Integration Engineer](https://feeny.ai/job/staff-thermal-systems-integration-engineer-rhoda-ai-mountain-view-h0adk89xs839) — Mountain View, CA
- [Robotics Test Engineer](https://feeny.ai/job/robotics-test-engineer-rhoda-ai-mountain-view-fawz7jcaj9pv) — Mountain View, CA
- [Senior Data Project Manager](https://feeny.ai/job/senior-data-project-manager-rhoda-ai-mountain-view-3r8qd12vvp3g) — Mountain View, CA
- [Senior Hardware Reliability Engineer](https://feeny.ai/job/senior-hardware-reliability-engineer-rhoda-ai-mountain-view-tb5a3r2wpf2a) — Mountain View, CA
- [Supply Chain Manager](https://feeny.ai/job/supply-chain-manager-rhoda-ai-mountain-view-at62gnb3hppz) — Mountain View, CA
- [Robot Pilot](https://feeny.ai/job/robot-pilot-rhoda-ai-munich-ae615mvnydam) — Munich, Germany