AI Engineering Intern - Fall 2026
Core
Intern role programming and fine-tuning AI tools (NLP, LLM) and implementing them into new applications to accelerate clinical trials into the market.
Role type
AI Engineering Intern
Builds
Interactive AI applications and machine learning systems for clinical research
Domain
Clinical research / Biotechnology / Pharmaceutical
Deliverable
production ML models
Required skills
Python, TensorFlow, PyTorch, Large Language Model fine-tuning, machine learning algorithms (classification, regression, clustering, anomaly detection, recommendation systems), data preprocessing, feature engineering, hyperparameter tuning
Preferred skills
Experience implementing interactive AI applications, passion for AI utilization
Technologies
Python, TensorFlow, PyTorch
Responsibilities
Design, implement, and deploy machine learning models and systems; Research and develop AI tools such as NLP and LLM; Collect, preprocess, and curate large datasets for training generative models; Experiment with various machine learning techniques; Design and optimize machine learning pipelines and workflows; Develop scalable machine learning infrastructure for production environments
Seniority
Intern
