Machine Learning Research Intern – Santa Clara, CA - Summer 2026

Nissan’s Advanced Technology Center in Silicon Valley (NATC-SV) works at the cutting edge of transportation technology, helping define the future of mobility. We are researchers, scientists, engineers, and makers that collaborate with world class technical groups and leadership in North America, Asia, Europe, and beyond.

About Our Projects

The EV & Energy Services team brings together machine learning researchers, data scientists, operations researchers, engineers, and business leaders. We work on smart cities infrastructure, large-scale EV charging orchestration (Vehicle Grid Integration, VGI), driver behavior modeling, and intelligent battery health management. 

Our team develops and leverages state-of-the art technology to maximize the value of EV battery assets. We create services that increase usage of renewable energy in the power grid, reduce costs of charging through large-scale price arbitrage, and help preserve the residual value of customers' EVs.

We have an open position for a Machine Learning Research Intern to join our team in Silicon Valley, CA for Summer 2026. We’re looking for candidates who are motivated to apply their technical expertise to solve real problems in the sustainability and mobility spaces.

Key Responsibilities / Daily Expectations

• Contributing to development, training, and validation of machine learning models for forecasting, simulation, optimization, and personalized recommendations,

• Applying machine learning models to real-world customer data or smart charging testbed in NATC-SV office,

• 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.

Requirements

• Pursuing PhD degree in computer science, statistics, engineering, operations research, or related technical field.

• Fluency in Python, including proficiency with data structures & advanced algorithms

• Hands-on experience with data science packages including pandas, scikit-learn, PySpark, etc.,

• Strong practical experience with machine learning tools including TensorFlow, Jax, and/or PyTorch,

• 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 contributions, 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

• Excellent written and verbal communication skill

• GPA of 3.0 or above

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 batteries, battery management systems, etc.)

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