AI Research & Engineering Fall Internship

AI Research & Engineering Intern

Location: Remote (United States) Duration: Fall 2026 (Flexible) Compensation: Unpaid, academic credit may be available through participating university programs. Should they become available, applicants will automatically be considered for paid internship roles as well.

About ArcellAI

ArcellAI is building agentic context infrastructure for health, science, and engineering.

As AI systems become more capable, organizations face a growing challenge: data is fragmented across documents, databases, applications, sensors, experiments, and operational systems. Traditional AI tools struggle because they lack the context needed to reason reliably across these environments.

ArcellAI helps solve this problem by combining AI agents, multimodal data systems, provenance tracking, validation, and context-aware reasoning into a unified platform that enables trustworthy AI workflows.

Our work spans healthcare, biotechnology, advanced manufacturing, engineering, and other data-intensive industries.

About the Role

We’re looking for ambitious students who want to work on challenging AI and engineering problems in a fast-paced startup environment.

As an AI Research & Engineering Intern, you will work directly with the founding team to build and evaluate AI systems, develop data infrastructure, create research prototypes, and explore emerging applications of agentic AI.

This is not a typical internship. Interns are given meaningful ownership and the opportunity to contribute to real products, research initiatives, and customer-facing projects.

What You’ll Work On

Depending on your interests and background, projects may include:

Building and evaluating AI agents for real-world workflows
Developing AI-powered applications and prototypes
Designing systems for multimodal data integration and analysis
Building tools for data lineage, validation, and reproducibility
Creating knowledge graphs and context-aware reasoning systems
Developing software infrastructure for AI and data-intensive applications
Conducting technical research on emerging AI technologies
Supporting customer pilots and product development initiatives
Qualifications

Required

Currently pursuing a Bachelor’s, Master’s, or PhD degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Cognitive Science, Bioengineering, or a related field
Strong analytical and problem-solving skills
Experience programming in Python or another modern programming language
Ability to learn quickly and work independently
Strong written and verbal communication skills
Preferred

Experience with AI, machine learning, LLMs, or data science projects
Familiarity with Git, APIs, cloud platforms, or modern software development workflows
Experience working with structured, unstructured, or multimodal data
Interest in AI agents, automation, knowledge graphs, or data infrastructure
Research experience, open-source contributions, or personal technical projects
Interest in startups and emerging technologies
What You’ll Gain

Direct mentorship from startup founders and technical leaders
Hands-on experience building production-oriented AI systems
Exposure to cutting-edge developments in AI, data infrastructure, and autonomous systems
Ownership of meaningful projects with real-world impact
Experience working in an early-stage startup environment
Opportunities to collaborate across engineering, research, product, and business functions
Academic Credit

While this is an unpaid internship, ArcellAI has successfully worked with university internship and independent study programs, including students from UC San Diego, New York University, and MIT. We are happy to work with selected candidates and their academic departments to facilitate academic credit where available.

How to Apply

Please apply directly on Wellfound.

Include:

Your resume
A brief description of your background
A short note explaining your interest in ArcellAI and this internship
Applications should be submitted directly on Wellfound.

Who Should Apply

This role is ideal for students who:

Enjoy tackling difficult technical problems
Like building things from scratch
Are excited by the future of AI and intelligent systems
Want exposure to both research and engineering
Thrive in environments with high autonomy and ownership
If you’ve built projects, conducted research, contributed to open source, participated in hackathons, or simply enjoy learning and building, we’d encourage you to apply.