Machine Learning Intern-Summer 2025- Silicon Valley, CA

Job Schedule: Onsite

Sponsorship: Yes

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

At Nissan, we’re not just building cars, we’re revolutionizing mobility. We’re a global leader with a heritage of innovation, and we’re searching for talented individuals like you to join us on this exciting journey. We believe that every individual possesses a unique set of skills and passions that can be harnessed to drive innovation and shape the future of the automotive industry. Our diverse range of program areas and career paths offer exciting opportunities for adventurers like you to embark on a thrilling professional journey.  

Learn more about Nissan’s future here: https://www.youtube.com/watch?v=EDJ3GVA1QRw

We are currently looking for a Machine Learning Intern to join our team in Santa Clara, CA.

The Vehicle-Grid Integration (VGI) team brings together machine learning researchers, data scientists, operations researchers, engineers, and business leaders to develop intelligent systems that manage electric vehicle (EV) services. Projects for this intern position are related smart cities infrastructure, large-scale EV charging orchestration, driver behavior modeling, and intelligent battery health management.

The VGI team is developing EV and VGI services that will empower thousands of people to power their homes off their car battery. Our team focuses on attuning mobility services to the unique needs of each customer through forecasting, planning, and recommendations infrastructure.

A Day in the Life:   

• Contributing to development, training, and validation of machine learning models for forecasting, simulation, optimization, and personalized recommendations,
• Collaborating with researchers, data scientists, and data engineers on feature engineering/data processing and custom KPI development for machine learning models,
• Identifying potential business opportunities for your work, and communicating findings to teammates, leadership, and executives,
• Interns are highly encouraged to pursue patents, academic papers, and other relevant intellectual property stemming from their work.

Who We’re Looking for: 

• Must be currently enrolled in an undergraduate/graduate degree program in computer science, statistics, engineering, operations research, or related technical field.
• Minimum 3.0 GPA
• Fluency in Python, including proficiency with data structures & advanced algorithms
• Strong practical experience with machine learning tools including TensorFlow, Jax, and/or PyTorch,
• Hands-on experience with data science packages including pandas, scikit-learn, PySpark, etc.,
• Expertise in sequence modeling, graphical models, time-series forecasting, and/or generative modeling (e.g. diffusion models),
• Advanced artifacts in the form of sound and creative scientific contributions (e.g. ICLR, ICML, NeurIPS, ICRA, INFORMS, ICCPS, etc.), open-source code, and/or patents
• Attention to detail, flexibility, creativity, and excellent communication and teamwork skills
• A strong passion for sustainability, empirical research, and for answering hard questions with data
• Ability to perform work onsite at Santa Clara, CA lab.

Preferred Skills (nice-to-haves, but not required):

• PhD candidates within one year of graduation
• Experience with AWS
• Proficiency in numerical optimization tools like cvxpy,
• Familiarity with EV-related research topics (vehicle-grid integration, smart charging, Li ion battery, battery management system, etc.)

What You’ll Look Forward to as a Machine Learning Intern at Nissan:

Connection and Collaboration: We offer Business Synergy Teams (ERGs) and opportunities for our employees to strengthen their relationships and meet people from similar and diverse backgrounds to foster a culture of belonging.

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

The Nissan Leadership Way sets our company way of doing things, with the values underpinning how we can work together to achieve success. Explore more here: https://www.nissan-global.com/EN/COMPANY/LIFE_AT_NISSAN/

Fuel your career with innovation and purpose by joining Nissan, a company dedicated to enriching other’s lives.

Nissan is committed to a drug-free workplace. All employment is contingent upon successful completion of drug and background screenings in accordance with Nissan policies and as permitted by applicable statutes and regulations.       

                                                                                                                                            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.

Salary Range Estimate: $44-48/hr. This compensation range is provided as a reasonable estimate of the salary range for the job’s grade level. Factors that may be used to determine your actual salary may include, among other things, your specific skills, your work location, how many years of experience you have, and comparison to other employees already in this role.

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 diversity and inclusion are the key to maximizing the power of each individual member of our team.  When everyone belongs, the power of NISSAN is undeniable.  Our Corporate Diversity Initiative aims to improve business results by ensuring that our workplace and core businesses meet the unique 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 over 10 Business Synergy Teams (BSTs) across the U.S. and Canada that connect employees – with shared characteristics or interests – build allies, and foster a company culture where all employees feel supported and included.

Nissan also values inclusion in all areas of our business as we strive to mirror 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 diverse perspective which will help us continue to offer our customers competitively designed, market-driven products.

Join us as we carry our commitment to diversity and inclusion into the future.

Santa Clara California United States of America

Salary Range:

$15.00 - $35.00

Salary Range Estimate: Annual Salary: (Minimum to Maximum of  Salary Range noted here). This compensation range represents the minimum and maximum base salary rates at Nissan for jobs assigned to this particular grade level. Please note that it is uncommon for an employee to be placed at either end of the range.  Rather, an employee’s actual base salary generally may fall somewhere in between and reflect the employee’s unique skills, work experience, education, work location, and market norms.  Additionally, pay may be based on comparisons to the base salary rates of other employees with similar backgrounds working in comparable roles.