Droyd
Machine Learning Intern
San Francisco, CA · Intern · Internship
Sponsorship not specifiedDetected 776 days ago
Machine LearningPyTorchRoboticsResearch
About the role
- 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.
Responsibilities
- This role is based in San Francisco, CA. We're an in-person company. We build faster that way.
- Learn how model design, data quality, and hardware constraints affect real-world performance
- Support deployment and testing of models on robotic hardware
- We build faster that way.
- We design the hardware, collect our own data, and train models that operate under real-world constraints.
Skills
- Join us and help build systems that ship.
- Have coursework or hands-on experience training ML models using frameworks like PyTorch or JAX
Company info
- 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.
- We're an in-person company.
This listing is sourced directly from Droyd's careers page and normalized into a canonical job model.