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

Nissan • Santa Clara, CA

10d • Onsite

About The Position

Nissan is seeking a Machine Learning Research Intern to join its EV & Energy Services team in Santa Clara, California, for a 12-week Spring 2027 program. The team combines machine learning researchers, data scientists, operations researchers, engineers, and business leaders to develop solutions for smart city infrastructure, EV charging orchestration, driver behavior modeling, battery health management, and next-generation mobility services.

The internship supports Mobility Services initiatives by developing data-driven simulation and machine learning tools for studying high-utilization mobility fleets. Work may involve modeling fleet operations, battery health, charging behavior, maintenance requirements, vehicle uptime, and business performance. The role is suited to graduate students interested in applying analytics and machine learning to transportation, sustainability, and future mobility challenges. The position must be performed onsite in Santa Clara, CA.

Requirements

• 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 willingness to learn.
• Excellent written and verbal communication skills.
• GPA of 3.0 or above; candidates must provide an official or unofficial transcript during the application process for verification.
• Ability to perform work onsite in Santa Clara, CA.
• Legally authorized to work in the United States and able to provide proof of employment eligibility at hire; Nissan uses E-Verify.
• Employment is contingent upon successful completion of drug and background screenings in accordance with Nissan policies and applicable laws.

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 developing, training, validating, and optimizing 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 simulation tools that 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 for 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) and opportunities to connect and build relationships with colleagues from diverse backgrounds.
• Professional training and development through innovation offerings, seminars, learning platforms, and leadership development opportunities.

What This Job Offers

• Career Level: Intern