Machine Learning Research Intern - Spring 2027 - Santa Clara, CA
About The Position
The EV & Energy Services team at Nissan is seeking a Machine Learning Research Intern to join their team in Santa Clara, CA. This 12-week program focuses on developing innovative solutions for smart cities infrastructure, EV charging orchestration, driver behavior modeling, battery health management, and next-generation mobility services. The internship will specifically support Mobility Services initiatives by creating data-driven simulation and machine learning tools to analyze high-utilization mobility fleets. Projects will involve modeling fleet operations, battery health, charging behavior, maintenance needs, vehicle uptime, and business performance. This role is ideal for students passionate about applying advanced analytics and machine learning to real-world challenges in transportation, sustainability, and future mobility.
Requirements
- 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.
- Ability to perform work onsite in Santa Clara, CA.
Nice To Haves
- PhD candidates within one year of graduation.
- Experience with electric vehicles, battery management systems, smart charging, vehicle-to-grid technologies, or battery health modeling.
- Experience with simulation, operations research, fleet modeling, mobility service platforms, or transportation systems.
- Familiarity with cloud and machine learning platforms such as AWS, Snowflake, Databricks, MLflow, Docker, or similar technologies.
- Experience with numerical optimization tools such as CVXPY, SciPy Optimize, Pyomo, or similar frameworks.
Responsibilities
- 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.
Benefits
- Business Synergy Teams (ERGs)
- Opportunities for employees to strengthen relationships and connect with colleagues from diverse backgrounds
- Professional Training and Development
- Seminars
- Learning platforms
- Leadership development opportunities
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Career Level
Intern
