---
title: 'Model Evaluation Program Manager at Dyna Robotics'
canonical: 'https://feeny.ai/job/model-evaluation-program-manager-dyna-robotics-redwood-city-2k6dn86ywbry'
type: 'job'
last_seen: '2026-11-08'
---

# Model Evaluation Program Manager at Dyna Robotics

- **Company:** Dyna Robotics
- **Location:** Redwood City, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-11-02
- **Last confirmed live:** 2026-11-08
- **Apply:** https://jobs.ashbyhq.com/dyna-robotics/807a15e2-5ce3-4429-a804-efc2e94eb67c

## Job description

Dyna Robotics builds general-purpose robots powered by a proprietary embodied AI foundation model with top-in-industry generalization and real-world performance. Already deployed with customers across multiple industries, our robots do commercial-grade work in the physical world. Our team comes from Google DeepMind, Meta, and Cruise, and we're backed by CRV, First Round, and other leading investors.

You’ll manage and develop the evaluation team, own evaluation planning and execution, and work closely with researchers to define what we test, how we measure it, and what we learn. This is a hands-on leadership role combining people management, experimental rigor, and technical judgment. Your work will help researchers understand model behavior, prioritize improvements, and assess readiness for deployment. This is a full-time, on-site position in Redwood City.

## What You’ll Do

- Team Management: Manage work flows for the evaluation team. Manage the team’s priorities. Establish clear ownership, provide regular coaching and feedback, and build onboarding and training practices that help team members execute evaluations and investigate issues independently.
- Research Partnership: Translate research questions into evaluation plans with clear hypotheses, success criteria, and deliverables. Partner with researchers to compare model checkpoints, assess new capabilities, and balance recurring evaluations with urgent experiments and available robot capacity.
- Evaluation Design: Develop task definitions, scoring rubrics, and test scenarios that reflect real operating conditions. Measure task success, output quality, cycle time, human interventions, and recovery behavior. Choose appropriate trial counts and account for variability when interpreting results.
- Repeatability & Traceability: Standardize setup, resets, scoring, and intervention rules. Ensure results are traceable to model versions, robot configurations, test conditions, logs, and videos. Coordinate with hardware and operations partners to resolve issues that affect evaluation quality.
- Failure Analysis: Review robot behavior, logs, and video with the team and researchers. Distinguish model failures from hardware, software, setup, or execution issues. Identify recurring failure patterns and recommend focused investigations, additional data collection, or annotation improvements.
- Regression Coverage & Reporting: Maintain consistent benchmarks and held-out test scenarios across tasks and conditions. Identify regressions, track progress across model versions, and communicate what improved, what remains unreliable, and where evidence is still limited. Provide clear recommendations that inform deployment decisions.
- Tools & Workflows: Use data analysis and lightweight scripting to improve reporting and reduce manual work. Partner with engineering on evaluation tooling, automation, and dashboards. Shorten the time from a new checkpoint to useful findings while preserving the quality of the evidence.

## What You’ll Bring

- The Experience: Experience in robotics, machine learning, applied research, or model evaluation, with direct ownership of evaluation design and analysis.
- Team Leadership: Demonstrated experience managing and developing a technical team, including setting priorities, giving feedback, and building effective working practices.
- Experimental Judgment: You can define success, control relevant variables, identify gaps in test coverage, and assess whether an apparent improvement is meaningful.
- Technical Fluency: Technical fluency to work directly with researchers on model checkpoints, generalization, data quality, and experimental tradeoffs.
- Data Analysis: Comfort using Python or similar tools to analyze results, inspect logs, and improve evaluation workflows.
- Communication & Ownership: You can turn an ambiguous request into an executable plan, surface problems early, and explain findings to both research and operations teams.

Bonus Points For

- Physical-World ML Evaluation: Evaluating robot manipulation policies, embodied AI, autonomous systems, or other machine learning systems operating in the physical world.
- Evaluation Infrastructure: Building regression suites, benchmark datasets, failure taxonomies, or evaluation tools, and connecting findings to model development or deployment readiness.

At Dyna Robotics, we build technology for the real world, which requires a team as diverse as the environments our robots inhabit. We are an equal opportunity employer committed to technical rigor and mutual respect. Don’t let a checklist stop you. Data shows that underrepresented groups often only apply if they meet 100% of the criteria. We value problem-solving and grit over keyword matching. If you’re passionate about robotics, no matter your discipline, we want to hear from you, even if you don't check every box.

## About Dyna Robotics

## Company Overview
- **One-liner**: Dyna Robotics builds general-purpose commercial robots powered by proprietary embodied AI foundation models that achieve human-level dexterity and self-improvement across diverse real-world environments.
- **Entity Type**: Private (Series A)
- **Headquarters**: Redwood City, California, United States
- **Founded**: 2024
- **Founders**: Lindon Gao (CEO), York Yang (Co‑founder), Jason Ma (Co‑founder / former DeepMind research scientist)

## Core Business
- **Primary industry**: Robotics / Artificial Intelligence (embodied AI foundation models)
- **Target customers**: B2B – enterprises in manufacturing, logistics, laundry, food service, hospitality, and other industries requiring repetitive manipulation tasks
- **Mission statement**: “To empower businesses by automating repetitive, stationary tasks with affordable, intelligent robotic arms. Driving the future of general‑purpose robotics—one manipulation skill at a time.” [builtin.com](https://builtin.com/company/dyna-robotics)

## Products & Services
- **DYNA‑1 Foundation Model** – A single‑weight, general‑purpose vision‑language‑action (VLA) model that achieves 99%+ success rates in 24‑hour non‑stop operation. It generalizes zero‑shot to unseen environments and learns new skills within hours. [dyna.co](https://www.dyna.co/)
- **DYNA‑1i: Open‑World Dexterity** – Production‑grade manipulation system with real‑time self‑correction and human‑level dexterity at commercial throughput. [dyna.co](https://www.dyna.co/)
- **Factory Automation** – 24/7 autonomous operation for precision manufacturing, kitting, assembly, pick‑and‑place, quality inspection, and packaging.
- **Laundry & Garment** – Automated folding and garment handling (e.g., DYNA‑1 folds 40+ shirts per hour).
- **Food & Hospitality** – Food service automation including napkin folding, plating, and delicate manipulation tasks.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metrics**:
  - **Total Funding**: $143.5 M (Seed $23.5 M in March 2025; Series A $120 M in September 2025) [prnewswire.com](https://www.prnewswire.com/news-releases/dyna-robotics-raises-120-million-to-advance-robotic-foundation-models-on-the-path-to-physical-artificial-general-intelligence-302556817.html)
  - **Employees**: 98 (as of mid‑2025), +213.9% YoY headcount growth [linkedin.com](https://www.linkedin.com/company/dyna-robotics)
- **Notable Investors/Partners**: CRV, RoboStrategy, First Round Capital, Salesforce Ventures, NVentures (NVIDIA), Amazon Industrial Innovation Fund, Samsung Next, LG Technology Ventures.
- **Growth Signals**:
  - Robots already deployed 16 hours/day at hotels, restaurants, laundromats, and gyms within six months of launch.
  - Strong talent influx from Tesla (14 employees), Cruise, Meta, Nuro, Amazon Lab126.
  - LinkedIn follower growth +404.3% year‑over‑year.

## Competitive Advantages
- **First general‑purpose foundation model for robotics** that works out‑of‑the‑box in new environments without custom engineering.
- **99%+ success rate** in continuous 24‑hour operation and ability to self‑improve through on‑the‑job data.
- **Rapid learning**: new skills acquired in hours, not weeks, with fleet‑wide updates.
- **Founding team** with proven exit (Caper AI sold for $350 M) and deep research pedigree (DeepMind).

## Strategic Focus
- Expand world‑class research and engineering team.
- Accelerate development of next‑generation foundation model.
- Scale commercial deployments across manufacturing, hospitality, and service industries.
- Collect high‑quality data from real‑world customers to continuously improve model generalization.

## Why Work Here
- **In‑office culture** – All employees work from physical offices in Redwood City, CA (with small satellite presence in China, Canada, Hong Kong). Strong in‑person collaboration is emphasized. [builtin.com](https://builtin.com/company/dyna-robotics)
- **Engineering‑heavy environment** – 27% of staff in technical roles, 9% in research, and 5% consulting. Recent open roles include Deployment Engineer, Research Engineer/Scientist, Full‑Stack Robotics Software Engineer, and Data Infra Engineer.
- **High growth trajectory** – Headcount nearly tripled in a year, with aggressive hiring across operations, research, and product.
- **Impactful mission** – Opportunity to work on cutting‑edge embodied AI that directly automates physical tasks, with a path toward physical AGI.
- **Competitive compensation & perks** (inferred from top VC backing and talent drawn from Big Tech).

## Sources
1. [dyna.co](https://www.dyna.co/) – Official website
2. [builtin.com](https://builtin.com/company/dyna-robotics) – Company overview, jobs, culture
3. [linkedin.com](https://www.linkedin.com/company/dyna-robotics) – Company details, funding, employee growth
4. [prnewswire.com](https://www.prnewswire.com/news-releases/dyna-robotics-raises-120-million-to-advance-robotic-foundation-models-on-the-path-to-physical-artificial-general-intelligence-302556817.html) – Series A announcement

## Other roles at Dyna Robotics

- [Workplace Coordinator](https://feeny.ai/job/workplace-coordinator-dyna-robotics-redwood-city-d5wrzg46dt1a) — Redwood City, CA
- [Robot Safety Operator - Anaheim](https://feeny.ai/job/robot-safety-operator-anaheim-dyna-robotics-customer-site-e0xzdd2b3dmz) — Customer Site
- [Research Technical Program Manager, Robotics](https://feeny.ai/job/research-technical-program-manager-robotics-dyna-robotics-redwood-city-1y5g5m5km5bt) — Redwood City, CA
- [Executive Assistant to Founders](https://feeny.ai/job/executive-assistant-to-founders-dyna-robotics-redwood-city-60ndbt9h2s9j) — Redwood City, CA
- [Senior Software Engineer, Fleet Connectivity](https://feeny.ai/job/senior-software-engineer-fleet-connectivity-dyna-robotics-redwood-city-kmgcdwmtwpvn) — Redwood City, CA
- [HR Business Partner](https://feeny.ai/job/hr-business-partner-dyna-robotics-redwood-city-xbs5vdzs7xqs) — Redwood City, CA
- [Exceptional Software Engineer](https://feeny.ai/job/exceptional-software-engineer-dyna-robotics-redwood-city-5emz05d1phvm) — Redwood City, CA
- [Staff Robotics Systems Integration Engineer](https://feeny.ai/job/staff-robotics-systems-integration-engineer-dyna-robotics-redwood-city-ca3qm930xv29) — Redwood City, CA
- [Research Scientist, Simulation](https://feeny.ai/job/research-scientist-simulation-dyna-robotics-redwood-city-kbtftjmb38vj) — Redwood City, CA
- [Applied Researcher - Deployment Intelligence](https://feeny.ai/job/applied-researcher-deployment-intelligence-dyna-robotics-redwood-city-2vv1eskyg11k) — Redwood City, CA