# Research Scientist at Dyna Robotics

Research Scientist at Dyna Robotics in Redwood City, CA. On-site, full-time, paying $200k–$400k. Posted August 22, 2025.

- Company: Dyna Robotics
- Location: Redwood City, CA
- Workplace: On-site
- Job type: Full-time
- Pay: $200k–$400k
- Experience: 5+ years
- Posted: 2025-08-22
- Apply: https://jobs.ashbyhq.com/dyna-robotics/357b1b23-0712-489e-b336-1462f186cba7/application
- Source: https://jobmagic.ai/jobs/research-scientist-dyna-robotics-qbwd0h

## Requirements

- Research Excellence: A PhD (preferred) or Master’s in CS/Robotics with a significant publication record in top-tier conferences (RSS, CoRL, ICRA, NeurIPS, CVPR, or ICLR).
- 5+ Years of Mastery: Deep experience in AI and robotics research, specifically in deploying deep learning models onto physical robots (not just simulation).
- Generative AI Expertise: Hands-on experience with Vision-Language-Action (VLA) models, Video Generation, or large-scale transformer architectures.
- Technical Stack: Mastery of Python and PyTorch (or JAX). Familiarity with simulation stacks like MuJoCo, Isaac, or Drake.
- High-Quality Code: The ability to write maintainable, production-ready research code that scales across GPU clusters.

## 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.

### **The Role**

As a **Research Scientist** on the AI Research team, you will own the end-to-end loop of Embodied AI. You will leverage our massive, "in-the-wild" multimodal datasets to develop models that don’t just move - they generalize, self-improve, and redefine what is possible in unstructured human environments.

### **What You’ll Do**

- **Advance the Frontier:** Design and implement state-of-the-art robot learning algorithms (RL, Imitation Learning, Diffusion) for complex, high-DOF manipulation tasks.

- **VLA & Video Generation:** Architect and scale multi-modal foundation models (VLMs/VLAs) and leverage generative video architectures to enhance world-modeling and robot foresight.

- **End-to-End Ownership:** Own the full research-to-production pipeline: from task definition and data curation to large-scale training and real-time deployment on physical hardware.

- **Physical-World Evaluation:** Move beyond the benchmark. You will evaluate and iterate on models using our expanding robot fleet, ensuring commercial-grade performance in dynamic customer environments.

- **Collaborative Leadership:** Work at the intersection of AI, Hardware, and Teleop teams to enhance the "Intelligence-per-Watt" of our robotic systems.

### **What You’ll Bring**

- **Research Excellence:** A PhD (preferred) or Master’s in CS/Robotics with a significant publication record in top-tier conferences (RSS, CoRL, ICRA, NeurIPS, CVPR, or ICLR).

- **5+ Years of Mastery:** Deep experience in AI and robotics research, specifically in deploying deep learning models onto physical robots (not just simulation).

- **Generative AI Expertise:** Hands-on experience with Vision-Language-Action (VLA) models, Video Generation, or large-scale transformer architectures.

- **Technical Stack:** Mastery of Python and PyTorch (or JAX). Familiarity with simulation stacks like MuJoCo, Isaac, or Drake.

- **High-Quality Code:** The ability to write maintainable, production-ready research code that scales across GPU clusters.

### **Bonus Points For**

- Experience with founding-stage startups or leading small, elite research teams.

- Deep understanding of classical robotics (controls, state estimation) to complement learning-based approaches.

- Experience profiling and optimizing foundation models for low-latency inference on edge devices.

*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.*