Machine Learning Engineer Intern

Job Description

As an ML / AI Software Engineer Intern, you will work directly under the VP of Innovation Engineering on the Innovation team. You'll gain hands-on experience with the latest technologies in machine learning, generative AI, and statistical modeling. You'll also collaborate with experienced engineers and contribute to real-world projects.

Responsibilities:

• Support the development, training, and evaluation of ML/AI models using Python and industry-standard frameworks
• Apply supervised learning techniques such as Logistic Regression, Gradient Boosting Machines (GBM), and Random Forests to solve classification and regression problems
• Explore and implement Generative AI models (e.g., transformers, diffusion models) for use cases such as text generation, summarization, or synthetic data creation
• Analyze structured and unstructured datasets using pandas, NumPy, and matplotlib/seaborn for data wrangling and visualization
• Use scikit-learn, XGBoost, and TensorFlow/PyTorch to build and validate predictive models
• Contribute to software development projects using Python, Java, or Kotlin
• Present findings, model performance, and project outcomes to teams
• Participate in code reviews, team meetings, and brainstorming sessions to support collaborative innovation

Qualifications

• Currently enrolled in a Bachelor's or higher in Computer Science, Engineering, or a related field
• Return to school in Fall 2026 to complete degree program
• Experience with Python programming and familiarity with libraries such as pandas, scikit-learn, NumPy, and matplotlib
• Exposure to machine learning concepts and algorithms, including classification, regression, and model evaluation
• Familiarity with Generative AI concepts and frameworks (e.g., Hugging Face Transformers, OpenAI API, or similar)