Applied Researcher: Real-World Deployment & Online Learning

Dyna Robotics; Redwood City (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Dyna Robotics builds general‑purpose robots powered by an embodied AI foundation model that generalizes to real‑world deployments. Our robots operate with customers across industries, supported by a team from Google DeepMind, Meta, and Cruise.

As an Applied Researcher on the AI Research team, you’ll mine fleet sensor and video data for failure modes, design monitoring, and turn deployment insights into continuous model improvements. This is a hands‑on, ship‑it role with end‑to‑end ownership.

Qualifications

• Hands-on experience in two or more of RL, sensor data modeling, anomaly detection, vision-language models, or continual learning.
• Production instincts: building monitoring/evaluation/data pipelines for live ML systems.
• Strong ability to turn data investigations into actionable recommendations for researchers and operators.

Responsibilities

• Design and ship pipelines turning deployment data into targeted fine‑tuning and online policy improvement.
• Mine high‑frequency multimodal sensor and video data across thousands of fleet episodes to catch failure modes, drift, and regressions.
• Apply reinforcement learning and reward modeling to improve policies from real deployment data.
• Build automated fleet monitoring that flags anomalies and near‑failures in real time.
• Characterize generalization gaps as robots move to new sites and develop evaluation harnesses.
• Own end‑to‑end improvements from data analysis notebook to production dashboard and deployed model update.

Skills

Reinforcement learning

Sensor data modeling

Anomaly detection

Vision-language models

Continual/online learning

Python

PyTorch

JAX

Slurm

GPU clusters

Communication

Education

Bachelor's/Master's/PhD in CS/Robotics/Statistics or equivalent

Tools

PyTorch

JAX

Slurm

CUDA/GPUs

Job description

Dyna Robotics builds general‑purpose robots powered by an embodied AI foundation model that generalizes to real‑world deployments. Our robots operate with customers across industries, supported by a team from Google DeepMind, Meta, and Cruise.

As an Applied Researcher on the AI Research team, you’ll mine fleet sensor and video data for failure modes, design monitoring, and turn deployment insights into continuous model improvements. This is a hands‑on, ship‑it role with end‑to‑end ownership.