# Applied AI Intern at Eragon

- Company: [Eragon](https://eragon.ai)
- Location: San Francisco, CA
- Type: Internship · Internship
- Posted: 2026-06-02
- Apply: https://jobs.ashbyhq.com/eragon/0b90ea4a-8684-4ae1-a7cc-c998db6e862e
- Page: https://newgrad.ai/jobs/applied-ai-intern-d11c0c55

## Summary by newgrad.ai

What you'll do:

- Refine and assess ML models for practical use cases
- Develop and connect AI capabilities into live applications
- Manage training data to enable model improvement cycles
- Conduct tests, review outcomes, and track system health

What they're looking for:

- Enrolled in a Bachelor's or Master's program in CS, Engineering, or similar discipline
- Strong Python skills and experience with frameworks like PyTorch or TensorFlow
- Grasp of core ML principles and standard development processes
- Analytical mindset and enthusiasm for growth in a dynamic setting

## Posting

### JOB DESCRIPTION

We're looking for an Applied AI Intern to help build and deploy production-grade AI systems. In this role, you'll work closely with engineers and researchers to take models from concept to real-world applications. You'll gain hands-on experience working across modeling, data, and systems, contributing to projects that ship to real users.

### KEY RESPONSIBILITIES

- Model Development: Assist in fine-tuning, evaluating, and applying machine learning models to real-world problems
- System Implementation: Help build and integrate AI-powered features into production systems
- Data & Pipelines: Work with datasets to support training, evaluation, and iteration
- Experimentation: Run experiments, analyze results, and iterate on model performance
- Evaluation & Monitoring: Contribute to evaluation frameworks and help track system performance
- Cross-Functional Collaboration: Work with engineering and product teams to support feature development

### MINIMUM QUALIFICATIONS

- Education: Currently pursuing a Bachelor's or Master's in Computer Science, Engineering, or a related field
- Technical Skills: Proficiency in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow)
- ML Fundamentals: Understanding of basic machine learning concepts and workflows
- Problem Solving: Ability to break down problems and contribute to practical solutions
- Curiosity & Ownership: Strong desire to learn and contribute in a fast-paced environment

### NICE TO HAVE

- Experience with ML projects, internships, or research
- Familiarity with LLMs, agents, or data pipelines
- Experience building projects outside of coursework
- Interest in working on real-world AI applications

From Eragon's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.

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More new-grad and intern roles: https://newgrad.ai/llms.txt