Machine Learning Intern

About the teamDroyd 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.About the roleAs 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.In this role, you'llWork across the ML stack, from training to inferenceTrain and evaluate models that run on low-payload robotic systemsRun experiments, analyze results, and document findingsLearn how model design, data quality, and hardware constraints affect real-world performanceSupport deployment and testing of models on robotic hardwareWe're looking for candidates whoAre current juniors or seniors (or equivalent) studying computer science, machine learning, AI, or a related fieldHave coursework or hands-on experience training ML models using frameworks like PyTorch or JAXAre willing to balance school and work in a fast-moving environmentAre curious about robotics and interested in how learning systems behave in the real worldTake ownership, ask good questions, and can carry projects forward with guidanceAbout DroydDroyd builds autonomous robotic systems to automate manual work for enterprises. We design the hardware, collect our own data, and train models that operate under real-world constraints.If we do this right, robots become dependable tools people rely on every day.Join us and help build systems that ship.