Machine Learning Research Intern - Spring 2027 - Santa Clara, CA
Core
Develop data-driven simulation and machine learning tools to study high-utilization mobility fleets, focusing on fleet operations, battery health, and charging behavior.
Role type
Machine Learning Research Intern
Builds
Simulation tools and ML models for EV charging orchestration, driver behavior modeling, and fleet utilization evaluation
Domain
Electric Vehicles & Mobility Services
Deliverable
production ML models
Required skills
Python, machine learning, data analysis, forecasting, optimization, simulation, time-series analysis
Preferred skills
EV/battery management systems, smart charging, vehicle-to-grid, cloud platforms (AWS, Snowflake, Databricks), numerical optimization (CVXPY, SciPy)
Technologies
pandas, NumPy, scikit-learn, PyTorch, TensorFlow, JAX, PySpark, AWS, Snowflake, Databricks, MLflow, Docker, CVXPY, SciPy Optimize, Pyomo
Responsibilities
Develop, train, validate, and optimize ML and simulation models; Analyze vehicle, charging, and fleet datasets; Support simulation tool development; Collaborate on feature engineering and model evaluation; Communicate findings via reports and visualizations
Seniority
Intern
