Machine Learning Research Intern - Spring 2027 - Santa Clara, CA

• Contribute to the development, training, validation, and optimization of machine learning and simulation models for mobility service applications.
• Analyze vehicle, charging, fleet, and battery-related datasets to identify operational trends, risks, and opportunities for improvement.
• Support the development of simulation tools used to evaluate fleet utilization, charging strategies, maintenance planning, battery health, and service availability.
• Collaborate with researchers, data scientists, engineers, and business stakeholders on feature engineering, data processing, model evaluation, and KPI development.
• Communicate findings through reports, dashboards, visualizations, presentations, and demonstrations to technical and business audiences.
• Explore opportunities to contribute to patents, academic publications, open-source projects, and other intellectual property initiatives.

• Must be currently enrolled in a Master's or PhD degree program in Computer Science, Statistics, Engineering, Operations Research, Applied Mathematics, Robotics, Transportation Systems, or a related technical field.
• Strong Python programming skills, including experience with data structures, algorithms, and data analysis workflows.
• Hands-on experience with machine learning and data science tools such as pandas, NumPy, scikit-learn, PyTorch, TensorFlow, JAX, PySpark, or similar technologies.
• Experience with machine learning, forecasting, optimization, simulation, or time-series analysis.
• Strong interest in mobility services, electric vehicles, battery technologies, fleet operations, or sustainable transportation.
• Strong analytical, problem-solving, communication, and teamwork skills.
• Demonstrated attention to detail, creativity, adaptability, and a willingness to learn.
• Excellent written and verbal communication skills.
• GPA of 3.0 or above (Candidates will be required to provide an official or unofficial transcript during the application process for verification.)
• Ability to perform work onsite in Santa Clara, CA.

People are our most valuable assets, and Nissan seeks to maximize the power of each individual member of our team. When everyone belongs, the power of NISSAN is undeniable. Nissan aims to improve business results through a workplace and business that meets the needs of our employees and customer base.

Nissan is committed to creating a culture where everyone belongs and employees, customers, and partners feel respected, valued, and heard. We have Business Synergy Teams (BSTs) across the Americas that are open to all employees and seek to connect employees through common interests and foster a company culture where all employees feel supported and included.

Nissan also values inclusion in our business as we respect and recognize the diversity of our customer base and the communities where we do business. We are committed to procuring innovative goods and services, retailing our products, and communicating from a position that will help us continue to offer our customers competitively designed, market-driven products.

Join us as we carry our commitment to our employees and customers into the future.