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

Location(s): Santa Clara, CA

Job Schedule: 12-week program

Degree Level: Master's - PhD Level Students

Preferred Degree: Computer Science, Statistics, Engineering, Operations Research, Applied Mathematics, Robotics, Transportation Systems, or related technical field

Shape the Future of Mobility at Nissan: Launch Your Career, Drive Innovation

We are currently looking for a Machine Learning Research Intern to join our team in Santa Clara, CA. The EV & Energy Services team brings together machine learning researchers, data scientists, operations researchers, engineers, and business leaders to develop innovative solutions for smart cities infrastructure, EV charging orchestration, driver behavior modeling, battery health management, and next-generation mobility services.

This internship will support our Mobility Services initiatives by developing data-driven simulation and machine learning tools used to study high-utilization mobility fleets. Projects may involve modeling fleet operations, battery health, charging behavior, maintenance requirements, vehicle uptime, and business performance. This is an exciting opportunity for students who are passionate about applying advanced analytics and machine learning to real-world challenges in transportation, sustainability, and future mobility.

A Day in the Life:

• 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.

Who We're Looking For:

Required:

• 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.

Preferred:

• 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.

What You'll Look Forward to at Nissan:

Connection and Collaboration: We offer Business Synergy Teams (ERGs) and opportunities for our employees to strengthen relationships and connect with colleagues from diverse backgrounds, fostering a culture of belonging.

Professional Training and Development: Expand your knowledge and skills through Nissan's rich innovation offerings, seminars, learning platforms, and leadership development opportunities.

Nissan is committed to a drug-free workplace. All employment is contingent upon the successful completion of drug and background screenings in accordance with Nissan policies and in compliance with federal, state, and local laws, including the California Fair Chance Act and the Los Angeles County Fair Chance Ordinance. Nissan will consider qualified candidates with arrest or conviction records for employment in a manner consistent with these laws.

It is Nissan's policy to provide Equal Employment Opportunity (EEO) to all persons regardless of race, gender, military status, disability, or any other status protected by law. Candidates for this position must be legally authorized to work in the United States and will be required to provide proof of employment eligibility at the time of hire; Nissan uses E-Verify to validate employment eligibility.

NISSAN FOR EVERYONE

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.

Santa Clara California United States of America