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E
ML Engineer – Summer Intern, Paid
ExperianML Engineer Intern developing machine learning models and working with AI technologies at Experian. Collaborating with experienced engineers while applying knowledge in real-world projects.
Tech Stack
Tools & technologiesJavaKotlinNumpyPandasPythonPyTorchScikit-LearnTensorflow
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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)
Benefits
Comp & perks- Fully remote
- Volunteer Time Off
- Great compensation
- Flexible work schedule
- Eligible for 401(k) participation in 90 days
ATS Keywords
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Hard Skills & Tools
PythonLogistic RegressionGradient Boosting MachinesRandom ForestsGenerative AIpandasNumPymatplotlibscikit-learnTensorFlow
Soft Skills
collaborationpresentationcommunication