Autonomous Driving Perception ML Research Intern

Nissan Motor Corporation; Santa Clara (CA); On-site; USD 34,000 - 55,000; Full time

Job summary

Nissan Motor Corporation invites applications for a Machine Learning Research Intern - Perception in Santa Clara, CA. This 12-week program targets Master's or PhD students in CS/EE/Robotics with a focus on autonomous driving perception systems.

You will validate state-of-the-art perception models, analyze large-scale driving data, and develop metrics and validation tools while collaborating with senior researchers.

Qualifications

• Must be currently enrolled in a Master’s or PhD degree program in Computer Science, Electrical Engineering, Robotics, or a related field.
• GPA of 3.0 or above; transcript verification may be requested.
• Strong programming skills in C++ and/or Python.
• Fundamental understanding of machine learning concepts and methodologies.
• Experience with data analysis and data visualization tools.
• Strong analytical, problem-solving, and communication skills.
• Self-motivated and able to work in a collaborative research environment.
• Ability to perform work onsite in Santa Clara, CA.

Responsibilities

• Gain hands-on experience evaluating cutting-edge ML models for autonomous vehicle perception applications.
• Develop validation methodologies, performance metrics, and reporting tools.
• Analyze model performance under varying environmental and traffic conditions.
• Evaluate and benchmark perception models using real-world autonomous vehicle data.
• Collaborate with autonomous vehicle engineers and researchers on next-generation perception technologies.
• Assist in documenting validation results and insights.

Skills

C++

Python

Machine Learning

Data Analysis

Communication

Education

MS or PhD in CS/EE/Robotics or related

Tools

PyTorch

TensorFlow

ROS

Linux

Job description

Nissan Motor Corporation invites applications for a Machine Learning Research Intern - Perception in Santa Clara, CA. This 12-week program targets Master's or PhD students in CS/EE/Robotics with a focus on autonomous driving perception systems.

You will validate state-of-the-art perception models, analyze large-scale driving data, and develop metrics and validation tools while collaborating with senior researchers.