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 ResponsibilitiesModel 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
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
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
Skills Required
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Proficiency in Python
- Familiarity with machine learning frameworks such as PyTorch or TensorFlow
- Understanding of basic machine learning concepts and workflows
- Ability to break down problems and contribute to practical solutions
- Strong desire to learn and contribute in a fast-paced environment
- Experience with machine learning 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
What We Do
Eragon is a San Francisco-based startup building an agentic AI operating system for enterprise work. The platform connects a company's tools, data, and communication channels, then trains custom proprietary AI models on that data so businesses own their intelligence and model weights. Deployed agents run autonomously to monitor, act, learn, and escalate tasks, letting employees manage operations — from onboarding to invoice approval — through natural language prompts instead of traditional software interfaces, with a security-first approach that keeps client data inside their own environments.
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