Machine Learning Engineer -- Intern
Root AccessNew York, New York, United States
Posted February 11, 2026
Full Time
About the Company
Root Access offers an AI‑native developer platform that accelerates the creation of firmware and embedded systems for hardware, robotics, and machinery. The platform unifies developer tools, electrical engineering workflows, and machine programming into a single, intelligent environment, reducing time‑to‑market for complex hardware projects. By embedding AI into every stage of development, Root Access delivers predictive coding assistance, automated testing, and seamless integration across hardware components. This approach empowers engineers to prototype, iterate, and deploy hardware solutions more efficiently and reliably than traditional development pipelines.
Job Description
We're looking for a Machine Learning Engineer Intern to help build AI-native developer tools. The role involves training, evaluating, and debugging machine learning models, contributing to ML projects, and testing features.
Requirements
- Train, evaluate, and debug machine learning models using Python, PyTorch, and related frameworks
- Use internal AI-powered tooling to accelerate model development, dataset preparation, experiment tracking, and deployment workflows
- Help test features like dataset validation, automated hyperparameter search, model introspection, and inference/runtime integrations
- Provide structured feedback on usability, model behavior, edge cases, and failure modes
- Build demo models, evaluation scripts, or experiment workflows to validate reliability and usability of the platform
- Read academic papers, model cards, and technical documentation to cross-verify model performance and expected behavior