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