Machine Learning Intern, Applied Mobility… at Cambridge… · Cambridge

Summary: Cambridge Mobile Telematics (CMT) is the world’s largest telematics service provider, dedicated to making roads and drivers safer. They are seeking a creative and collaborative Machine Learning Intern to develop applied machine learning capabilities using real-world mobility and behavioral data over a 12-week project. Responsibilities: - Explore real-world mobility datasets and identify useful behavioral, temporal, contextual, and aggregate patterns - Help define practical data labeling guidelines, quality criteria, and edge-case handling rules - Build and validate datasets for supervised machine learning experiments - Develop baseline and improved ML models using Python and standard data science workflows - Perform feature engineering, model evaluation, error analysis, and iteration - Assess model performance across relevant data segments and edge cases - Summarize findings, limitations, risks, and opportunities for technical and product stakeholders - Produce clear documentation, analysis reports, and final recommendations Required Qualifications: - Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science, Data Science, Machine Learning, Statistics, Engineering, Applied Math, or a related quantitative field - Strong Python programming skills and comfort working with real-world datasets - Solid understanding of supervised machine learning, feature engineering, classification metrics, train/test splits, and error analysis - Experience with common Python data science libraries such as pandas, NumPy, scikit-learn, PyTorch, TensorFlow, or similar tools - Strong analytical and problem-solving skills, with a bias toward initiative and ownership - Clear written and verbal communication skills, including the ability to explain technical findings to non-technical stakeholders Required Skills: Python, Machine Learning, Feature Engineering, Model Evaluation, Error Analysis, Data Labeling, pandas, NumPy, scikit-learn, PyTorch, TensorFlow Benefits: Flexible scheduling options depending on role and responsibilities, Feel great working to improve road safety around the world!, Join one of our many employee resource groups including Black, AAPI, LGBTQIA+, Women, Book Club and Health & Wellness