Machine Learning Research Intern

Nissan

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Work type
On-site
Location
Santa Clara, CA
Employment
Full-time
Posted
13 days ago
Freshness
Confirmed live today

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About Nissan

Nissan Motor Company is a multinational automobile manufacturer headquartered in Yokohama, Japan, designing and producing a wide range of vehicles including cars, trucks, SUVs, and electric vehicles under the Nissan and Infiniti brands. Industry: Automotive Manufacturing

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TL;DR · Machine Learning Research Intern

The Machine Learning Research Intern - Spring 2027 joins the EV & Energy Services team to support Mobility Services initiatives. This role involves developing data-driven simulation and machine learning tools to study high-utilization mobility fleets. Day-to-day responsibilities include developing, training, validating, and optimizing models for fleet operations, battery health management, charging behavior, and maintenance requirements. The intern will analyze vehicle and battery datasets to identify operational trends and risks while collaborating on feature engineering and KPI development. Required technical skills include Python programming, data structures, and algorithms, alongside experience with pandas, NumPy, scikit-learn, PyTorch, TensorFlow, JAX, or PySpark. The work focuses on solving technical problems in smart city infrastructure, electric vehicle charging orchestration, and next-generation mobility services through forecasting, optimization, and time-series analysis.

What you'll do

  • Develop, train, validate, and optimize machine learning and simulation models for mobility service applications.
  • Analyze vehicle, charging, fleet, and battery datasets to identify operational trends and risks.
  • Build simulation tools to evaluate fleet utilization, charging strategies, and maintenance planning.
  • Perform feature engineering, data processing, and model evaluation for mobility service initiatives.
  • Create reports, dashboards, and visualizations to communicate technical findings to business audiences.
  • Model fleet operations, battery health, charging behavior, and vehicle uptime.
  • Contribute to patents, academic publications, and open-source projects.

What we're looking for

  • Must be currently enrolled in a Master's or PhD degree program in a related technical field.
  • Must have a GPA of 3.0 or above.
  • Must be able to perform work onsite in Santa Clara, CA.
  • Must be legally authorized to work in the United States.
  • 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, or PySpark.
  • Experience with machine learning, forecasting, optimization, simulation, or time-series analysis.
  • PhD candidates within one year of graduation (preferred).

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