Machine Learning Research Perception Intern

Nissan

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Employment: Full-time
Posted: 13 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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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 Perception Intern

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The Machine Learning Research Perception Intern - Spring 2027 joins the Autonomous Driving Systems team to advance perception technologies for intelligent vehicles. This role focuses on developing models that enable autonomous vehicles to understand and interact with their surroundings, specifically supporting moving object detection, tracking, road structure estimation, and environmental understanding. The intern will validate and evaluate state-of-the-art perception models using large-scale real-world driving datasets, develop validation methodologies and performance metrics, and analyze model behavior under diverse traffic and environmental conditions. Required skills include programming in C++ and/or Python, fundamental machine learning knowledge, and data analysis tools. Preferred qualifications include experience with computer vision, robotics, PyTorch, TensorFlow, Linux, Robot Operating System, and 3D perception algorithms for camera, LiDAR, and radar sensor datasets.

Skills

Machine Learning Computer Vision Python C++ PyTorch TensorFlow ROS Linux Object Detection Object Tracking Semantic Segmentation 3D Perception Data Mining Data Visualization LiDAR Radar Autonomous Driving Systems

What you'll do

Validate and evaluate state-of-the-art machine learning perception models on autonomous vehicle platforms.
Evaluate and benchmark perception models using large-scale real-world driving datasets.
Analyze model behavior under diverse traffic, environmental, and operational conditions.
Develop validation methodologies, performance metrics, and reporting tools to assess system effectiveness.
Perform data mining and large-scale dataset analysis for perception system validation.
Identify opportunities to improve the robustness and reliability of autonomous driving systems.

What we're looking for

Must be currently enrolled in a Master's or PhD degree program in Computer Science, Electrical Engineering, Robotics, or a related field.
Must maintain a GPA of 3.0 or above.
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.
Ability to perform work onsite in Santa Clara, CA.
Authorized to work in the United States and will be.

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