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Santa Clara, California, United States of America, United States of America
Onsite
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:
Who We’re Looking For:
Required:
Preferred:
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.