Machine Learning Intern

Droyd builds autonomous robotic systems that automate repetitive manual work in real environments. Our robots operate under tight compute, latency, and reliability constraints, so learning systems must work cleanly on real hardware.

Our AI team builds the models and inference systems that let robotic arms see, reason, and act. This work runs on deployed robots, not demos.

As a Machine Learning Intern at Droyd, you’ll work directly on the learning and inference systems that power our robotic arms. You’ll train models, run experiments, and help push research into production.

You’ll work closely with AI researchers, software engineers, and hardware teams, and contribute to systems that ship to real robots.

This role is based in San Francisco, CA. We’re an in-person company. We build faster that way.

Work across the ML stack, from training to inference

Train and evaluate models that run on low-payload robotic systems

Run experiments, analyze results, and document findings

Learn how model design, data quality, and hardware constraints affect real-world performance