Note: The job is a remote job and is open to candidates in USA. DataRobot is a company that delivers AI to maximize impact and minimize business risk. They are seeking an AI Native Intern who will contribute to engineering or product teams by building agentic AI solutions that automate engineering processes and enhance efficiency.
Responsibilities
- 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
Skills
- 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
- 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
Benefits
- Medical, Dental & Vision Insurance
- Flexible Time Off Program
- Paid Holidays
- Paid Parental Leave
- Global Employee Assistance Program (EAP)
Company Overview
Company H1B Sponsorship