About the role#
This is a hands-on building internship within the Data & Technology organization. You will work directly with engineers, data scientists, and operations leads to ship AI-powered tools and deploy agentic systems for real-world use. This role focuses on practical development rather than research or strategy meetings.
What you'll do#
- Design and deploy multi-step agentic workflows using LLM-integrated frameworks.
- Build API-connected automations that integrate internal tools like Slack, Salesforce, and Notion.
- Develop lightweight internal tools and dashboards to surface AI outputs to business teams.
- Instrument projects to capture usage signals, adoption metrics, and time-saved estimates.
- Contribute to the organization's ROI measurement framework by tagging projects to defined value categories.
What you'll need#
- Current enrollment in an undergraduate or graduate program in Computer Science, Data Science, Computer Engineering, Electrical Engineering, or Business Administration.
- Hands-on experience with LLM APIs such as OpenAI or Anthropic.
- Proficiency in Python and/or JavaScript.
- Familiarity with at least one agentic or automation framework, such as LangChain, AutoGen, n8n, or Zapier.
- Strong product instincts and the ability to iterate quickly on functional prototypes.
Location & details#
- Locations: San Francisco, CA or New York, NY.
- Term: Summer 2027.
- Modality: On-site.
- Employment type: Full-time, paid internship.
- Note: Visa sponsorship is not provided for this role.
About Scale AI
Scale AI provides data and technology for the development of artificial intelligence systems. Founded in 2016 and based in San Francisco, the company operates in the software development sector. Its platform supports the creation and evaluation of generative models for enterprise and government clients. The organization employs over 6,000 people.
How to get in at Scale AI
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