Machine Learning Intern

Droyd • San Francisco, CA

2d • Onsite

About The Position

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.

Requirements

• Are current juniors or seniors (or equivalent) studying computer science, machine learning, AI, or a related field
• Have coursework or hands-on experience training ML models using frameworks like PyTorch or JAX
• Are willing to balance school and work in a fast-moving environment
• Are curious about robotics and interested in how learning systems behave in the real world
• Take ownership, ask good questions, and can carry projects forward with guidance

Responsibilities

• 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
• Support deployment and testing of models on robotic hardware

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed