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Agentic AI Intern

DataRobot · Boston, United States

External listinginternship14 days ago

About The Role

Join DataRobot, a leading AI platform that empowers organizations to develop, deliver, and govern AI at scale. As an AI Native Intern, you will work on high-impact projects, design and build AI solutions, and gain valuable experience in the field of AI and machine learning. The internship program lasts approximately 6 months and offers a range of benefits, including medical, dental, and vision insurance, flexible time off, and work-from-home opportunities.

  • Contribuer activement à la conception et à la construction de solutions d'IA agentique qui réduisent le travail manuel et libèrent les ingénieurs pour se concentrer sur des problèmes de plus haut niveau.
  • Utiliser la plateforme DataRobot, y compris AutoML, GenAI tooling et MLOps capabilities, pour concevoir, évaluer et expédier des solutions.
  • Traduire les points de douleur ambigus de l'équipe en problèmes d'IA/ML bien définis avec des critères de succès définis.
  • Deep passion for autonomous agents — you have experience building systems that "do" rather than just "chat"
  • Working proficiency in Python (pandas, numpy) and comfort with data manipulation and scripting
  • Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field
  • Ability to work independently, manage ambiguity, and escalate blockers appropriately
  • Foundational understanding of machine learning concepts — supervised learning, model evaluation, feature engineering
  • Strong written and verbal communication skills; ability to explain technical work clearly to mixed audiences
  • Prior hands-on experience with LLMs, prompt engineering, or agentic frameworks (LangGraph, CrewAI, LlamaIndex)
  • Familiarity with the DataRobot platform or other MLOps/AutoML tools
  • Experience with API development (FastAPI, Flask) or containerization (Docker)
  • Prior internship, research, or project experience applying ML to real-world problems
  • Experience with or interest in DevSecOps concepts, CVE triage, or support engineering workflows

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