--- title: 'Research Evaluation Lead at Rhoda AI' canonical: 'https://feeny.ai/job/research-evaluation-lead-rhoda-ai-mountain-view-6jz1qjdqy7h3' type: 'job' last_seen: '2026-09-16' --- # Research Evaluation Lead at Rhoda AI - **Company:** Rhoda AI - **Location:** Mountain View, CA - **Employment:** full-time - **Posted:** 2026-09-11 - **Last confirmed live:** 2026-09-16 - **Apply:** https://jobs.ashbyhq.com/rhoda-ai/50aa7e81-818b-4645-8413-347b3dbd287d ## 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. Mission Own end-to-end robot model evaluation for Research. Turn research questions into consistent, high-quality, repeatable evals that enable fast iteration and trusted results. ## Responsibilities - Translate research intent into clear eval protocols, trial plans, and success criteria. - Own execution end-to-end: model handoff → station readiness → pilot execution → QA → results. - Train and manage eval pilots; ensure consistency across people, shifts, and stations. - Distinguish model failures from hardware, setup, operator, or data-quality issues. - Maintain eval setups, resets, randomization, metadata, and experiment traceability. - Track quality, throughput, and bottlenecks; continuously improve the eval process. - Partner closely with Research, Robot Data, and Eval Platform teams. ## What we’re looking for - Some understanding of robotics / ML experimentation. - Computer science background or hands-on experience with coding - Rigorous, detail-oriented, and able to understand the intent behind an experiment, not just execute instructions. - Strong hands-on execution and ownership. - Experience in robotics testing, data collection, lab operations, or QA preferred. Success looks like A researcher can hand off a model and research question and receive a trusted, standardized eval result with sufficient trials and QA. ## 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 - [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 - [Senior Fleet Software Engineer](https://feeny.ai/job/senior-fleet-software-engineer-rhoda-ai-mountain-view-bbmg1fzakq3b) — Mountain View, CA