Eragon
Applied AI Intern
San Francisco · Intern · Internship
Sponsorship not specifiedDetected 50 days ago
PythonMachine LearningTensorFlowPyTorchData EngineeringLLMsA/B TestingResearchCollaborationProblem Solving
About the role
- 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.
Responsibilities
- System Implementation: Help build and integrate AI-powered features into production systems
- Data & Pipelines: Work with datasets to support training, evaluation, and iteration
- Cross-Functional Collaboration: Work with engineering and product teams to support feature development
Requirements
- Technical Skills: Proficiency in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow)
- Currently pursuing a Bachelor's or Master's in Computer Science, Engineering, or a related field
- Ability to break down problems and contribute to practical solutions
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
- Contribute to evaluation frameworks and help track system performance
Benefits
- Model Development: Assist in fine-tuning, evaluating, and applying machine learning models to real-world problems
- Education: Currently pursuing a Bachelor's or Master's in Computer Science, Engineering, or a related field
Company info
- We're looking for an Applied AI Intern to help build and deploy production-grade AI systems.
This listing is sourced directly from Eragon's careers page and normalized into a canonical job model.