Agentic AI Intern, DataRobot

• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field
• Working proficiency in Python (pandas, numpy) and comfort with data manipulation and scripting
• Foundational understanding of machine learning concepts — supervised learning, model evaluation, feature engineering
• Deep passion for autonomous agents — you have experience building systems that "do" rather than just "chat"
• Strong written and verbal communication skills; ability to explain technical work clearly to mixed audiences
• Ability to work independently, manage ambiguity, and escalate blockers appropriately

Desirable

• DataRobot delivers AI that maximizes impact and minimizes business risk
• Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale
• DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets
• Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future
• Our interns are not observers — they are contributors
• Each AI Native Intern is embedded in a real team, working on real problems, and is expected to deliver meaningful output over the course of the program
• This is how we identify and develop the next generation of AI practitioners who will carry DataRobot's mission forward
• As an AI Native Intern, you will be placed on one of our engineering or product teams tackling high-impact, process-heavy work that is ripe for AI automation
• Current focus areas include CVE resolution workflows (triage, impact assessment, dependency upgrades, and verification) and support ticket lifecycle management (categorization, diagnosis, routing, status updates, and resolution documentation)
• You will design and build agentic AI solutions that reduce manual toil and free engineers to focus on higher-order problems
• The program runs approximately 6 months
• Build and deploy agentic AI workflows that automate repeatable, high-volume engineering processes such as CVE triage and support ticket management
• Use the DataRobot platform — including AutoML, GenAI tooling, and MLOps capabilities — to design, evaluate, and ship solutions
• Translate ambiguous team pain points into well-scoped AI/ML problems with defined success criteria
• Work autonomously on defined project deliverables while staying aligned with your mentor and team
• Communicate progress through structured weekly updates and a final Intern Showcase presentation to DataRobot leadership
• Collaborate across engineering, product, and go-to-market teams to understand context and deliver work that sticks
• Document your work thoroughly so findings and solutions can be handed off and extended after the program
• Agentic AI & Autonomous Systems
• Design and implementation of multi-agent systems and autonomous reasoning loops
• Agent evaluation frameworks, tool-use reliability, and safety guardrails for autonomous agents
• Advanced orchestration using frameworks like LangGraph, CrewAI, or AutoGen for enterprise automation
• Platform & Product
• End-to-end proficiency on the DataRobot platform: GUI, Python/R clients, and API integrations
• How to automate the ML lifecycle from data ingestion through deployment and monitoring
• Business Acumen & Use Case Development
• How to identify and size AI opportunities within real engineering workflows
• How to communicate technical findings to both technical and non-technical stakeholders
• Communication & Collaboration
• Async-first collaboration using Slack, Confluence, and structured project updates
• How to present technical work clearly to senior leaders at a live Intern Showcase
• PROGRAM STRUCTURE:
• Phase I — Month 1: Onboarding & Foundation
• Get oriented to DataRobot's culture, tools, and platform. Complete structured training, co-create your Individual Learning Plan (ILP) with your mentor, and begin shadowing team members on real work
• Phase II — Months 2–3: Core Project Execution
• Take ownership of a defined project scoped by your team. Work moves from guided to increasingly independent as you demonstrate competency. Expect weekly feedback from your mentor and regular touchpoints with your Buddy
• Phase III — Months 4–6: Synthesis & Showcase
• Finalize your deliverables, document your findings, and prepare for the Intern Showcase — a live presentation to DataRobot leaders and peers. Optional rotations or cross-functional exposure may be available based on performance and team need