The board
- Pay
- $1K – $2K per week
- Where
- San Francisco
- Posted
- Jun 2
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.
What you'd do
- 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
What they want
- 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