ML Intern
An open-source ML engineer that reads papers, trains models, and ships ML models.
Open-source ML engineering agent/CLI that autonomously researches, writes, trains, evaluates, and ships ML-related code using the Hugging Face ecosystem, with access to docs, papers, datasets, repositories, sandbox/compute tools, and model backends.
Recent stories
ml-intern now lets an agent run long post-training tasks like parallel ablations in YOLO mode and automatically pushes session traces to a Hub account for later inspection. That gives RL and fine-tuning workflows both unattended execution and a built-in audit trail.
Independent tools and platforms shipped GPT-5.5 support within a day of the API rollout, spanning IDEs, hosted research agents, enterprise stacks, and coding agents. That shortens evaluation time because teams can test the model inside existing workflows instead of rebuilding around a single OpenAI surface.