ML Engineer – Summer Intern, Paid

Job Description

Join Experian as a Machine Learning Engineer Intern and contribute to the development of innovative AI solutions. In this role, you will: 1. Support the development, training, and evaluation of ML/AI models using Python and industry-standard frameworks. 2. Apply supervised learning techniques such as Logistic Regression, Gradient Boosting Machines (GBM), and Random Forests to solve classification and regression problems. 3. Explore and implement Generative AI models (e.g., transformers, diffusion models) for use cases such as text generation, summarization, or synthetic data creation. 4. Analyze structured and unstructured datasets using pandas, NumPy, and matplotlib/seaborn for data wrangling and visualization. 5. Utilize scikit-learn, XGBoost, and TensorFlow/PyTorch to build and validate predictive models. 6. Contribute to software development projects using Python, Java, or Kotlin. 7. Present findings, model performance, and project outcomes to teams. 8. Participate in code reviews, team meetings, and brainstorming sessions to support collaborative innovation.

Qualifications

To be considered for the Machine Learning Engineer Intern position, you should meet the following qualifications: 1. Currently enrolled in a Bachelor's or higher in Computer Science, Engineering, or a related field. 2. Return to school in Fall 2026 to complete degree program. 3. Demonstrate experience with Python programming and familiarity with libraries such as pandas, scikit-learn, NumPy, and matplotlib. 4. Possess exposure to machine learning concepts and algorithms, including classification, regression, and model evaluation. 5. Familiarity with Generative AI concepts and frameworks (e.g., Hugging Face Transformers, OpenAI API, or similar).

Benefits

As an intern at Experian, you'll enjoy the following benefits: - Fully remote work environment - Volunteer Time Off - Competitive compensation package - Flexible work schedule options - Eligibility for 401(k) participation after 90 days