Applied AI Intern

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 & Pipeline: 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 #J-18808-Ljbffr Alumni Ventures