Research Scientist
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Before you apply
SalaryNo pay range posted
LocationRedwood City, CA
Work modeon-site
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentResearch
Company size51–200 people
PostedAug 22, 2025 · 1y ago
Verified live1d ago
May no longer be actively hiring
Posted by the company on Aug 22, 202570% of this company's open roles have been listed for 90+ daysNo pay range listed, though California requires one
At a glanceSummarised by Seekless from the posting.
PhD or Master's in CS/Robotics with significant publication record in RSS, CoRL, ICRA, NeurIPS, CVPR, or ICLR
5+ years of deep experience in AI and robotics research, deploying deep learning models onto physical robots
Hands-on experience with VLA models, Video Generation, or large-scale transformer architectures
Mastery of Python and PyTorch (or JAX)
Familiarity with simulation stacks like MuJoCo, Isaac, or Drake
Ability to write maintainable, production-ready research code that scales across GPU clusters
Experience with founding-stage startups or leading small, elite research teams
Deep understanding of classical robotics (controls, state estimation)
Experience profiling and optimizing foundation models for low-latency inference on edge devices
Skills
Python
PyTorch
JAX
MuJoCo
Isaac
Drake
About the company
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.
About 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.
This is a full-time, on-site position in Redwood City.
What You’ll Do
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Frontier Research: Design and implement state-of-the-art robot learning algorithms (RL, Imitation Learning, Diffusion) for complex, high-DOF manipulation tasks.
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VLA & Video Generation: Architect and scale multi-modal foundation models (VLMs/VLAs) and leverage generative video architectures to enhance world-modeling and robot foresight.
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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.
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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.
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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
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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).
•
The Experience: 5+ years of 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.
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High-Quality Code: The ability to write maintainable, production-ready research code that scales across GPU clusters.
Bonus Points For
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Startup & Leadership Experience: Experience with founding-stage startups or leading small, elite research teams.
•
Classical Robotics: Deep understanding of classical robotics (controls, state estimation) to complement learning-based approaches.
•
Edge Inference: Experience profiling and optimizing foundation models for low-latency inference on edge devices.
Legal
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.