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