---
title: 'Research Member of Technical Staff- Video Generation Modeling at Rhoda AI'
canonical: 'https://feeny.ai/job/research-member-of-technical-staff-video-generation-modeling-rhoda-ai-mountain-25cwaqsmq1v0'
type: 'job'
last_seen: '2026-10-14'
---

# Research Member of Technical Staff- Video Generation Modeling at Rhoda AI

- **Company:** Rhoda AI
- **Location:** Mountain View, CA
- **Employment:** full-time
- **Posted:** 2026-05-18
- **Last confirmed live:** 2026-10-14
- **Apply:** https://jobs.ashbyhq.com/rhoda-ai/39f7e0c9-067a-4c14-b041-dc9d68f04451/application

**Skills:** Large-scale generative modeling, Video generation, Autoregressive video models, Diffusion transformers, Causal video architectures, Language model pretraining, LLMs, Autoregressive transformers, PyTorch, Experiment design, Data efficiency, Scaling laws, JAX, Large-scale autoregressive language model pretraining, Video data curation pipelines, Video data to control/action prediction, Robotic learning, Distributed training, Multi-node infrastructure

> Design and train large-scale causal video generation models on web-scale video data to enable robot control via video prediction. Develop training objectives, architectures, and scaling strategies for video pretraining. Collaborate with engineering teams to translate research into working systems and publish finding...

## 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 Research Scientists and Research Engineers to push the frontier of large-scale pre-training for our video action model. Our approach formulates robot control as video prediction — we pre-train causal video generation models on web-scale video data, then adapt them to predict robot actions from real-world demonstrations. You'll work on the core architectures, training objectives, and scaling strategies that determine how well our models learn from internet-scale video. We hire across levels — from senior to staff — and welcome both research-track and engineering-track candidates.

## What You'll Do

- Design and train large-scale causal video generation models on web-scale video data
- Develop and validate training objectives, model architectures, and data mixtures for video prediction at scale
- Research scaling laws and data efficiency for web-scale video pretraining
- Investigate what properties of web video transfer most effectively to robotic control and action prediction
- Build systematic evaluations to measure video generation quality, long-horizon prediction fidelity, and downstream robot task performance
- Run rigorous ablations and benchmarking to understand what drives model quality at scale
- Collaborate closely with data & evaluation, post-training, and training systems teams to translate research ideas into working systems
- Publish and present work at top-tier ML and robotics venues (especially valued for RS track)

## What We're Looking For

- Strong background in large-scale generative modeling — either video generation (autoregressive video models, diffusion transformers, causal video architectures) or language model pretraining (LLMs, autoregressive transformers at scale)
- Hands-on experience training large generative models from scratch at scale
- Deep understanding of autoregressive modeling, causal architectures, and scaling behavior
- Fluency with modern ML frameworks (PyTorch required; JAX a plus)
- Ability to design experiments, interpret results, and iterate quickly
- Strong research taste: ability to identify high-leverage questions and cut through noise
- Comfort operating in a fast-moving, ambiguous startup environment
- Staff-level candidates are expected to define technical direction and drive research strategy independently; senior/MTS candidates execute complex projects with strong fundamentals and growing scope

## Nice to Have (But Not Required)

- PhD in ML, CS, Robotics, or a related field — or equivalent research/industry experience
- Strong publication record at NeurIPS, ICML, ICLR, CVPR, CoRL, etc. (especially valued for RS track)
- Prior work specifically on video generation models (autoregressive video, diffusion transformers, world models, or causal video architectures)
- Experience with large-scale autoregressive language model pretraining and scaling
- Familiarity with web-scale video datasets and video data curation pipelines
- Prior work connecting video generation to control, action prediction, or robotic learning
- Familiarity with distributed training and multi-node infrastructure

## Why This Role

- Work on a fundamentally different approach to robot learning — web-scale video pretraining rather than robot-data-only VLA models
- Your models give our robots the ability to understand and predict the visual world from internet-scale supervision
- Direct collaboration with data, post-training, and deployment teams with no silos
- High ownership and fast iteration in a small, elite team

## 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

- [Staff Product Manager- Robot & Fleet Interfaces](https://feeny.ai/job/staff-product-manager-robot-fleet-interfaces-rhoda-ai-mountain-view-sw5va827cxvb) — Mountain View, CA
- [Associate Engineering Product Manager- Robot Data Systems](https://feeny.ai/job/associate-engineering-product-manager-robot-data-systems-rhoda-ai-mountain-view-p6pw133hymk0) — Mountain View, CA
- [Robot Software Engineer Internship](https://feeny.ai/job/robot-software-engineer-internship-rhoda-ai-mountain-view-3s3s0rkqmbkw) — Mountain View, CA
- [Social Media & Content Lead- AI Research](https://feeny.ai/job/social-media-content-lead-ai-research-rhoda-ai-mountain-view-09kzs6nda5w7) — Mountain View, CA
- [Research Member of Technical Staff- Training Systems](https://feeny.ai/job/research-member-of-technical-staff-training-systems-rhoda-ai-mountain-view-n7d7bvemaev0) — Mountain View, CA
- [Field Robotics Deployment Lead](https://feeny.ai/job/field-robotics-deployment-lead-rhoda-ai-mountain-view-v91gfb5byq4a) — Mountain View, CA
- [Senior UX/UI Designer](https://feeny.ai/job/senior-ux-ui-designer-rhoda-ai-mountain-view-tb6zs4gkw722) — 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 Hardware Reliability Engineer](https://feeny.ai/job/senior-hardware-reliability-engineer-rhoda-ai-mountain-view-tb5a3r2wpf2a) — Mountain View, CA