Machine Learning Research Prediction and Planning 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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At a glance

TL;DR · Machine Learning Research Prediction and Planning Intern

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The Machine Learning Research Prediction and Planning Intern will join the mobility and autonomous driving technology team to develop scene reconstruction technologies. The intern will build software pipelines to process large-scale autonomous vehicle datasets, fusing and synchronizing data from cameras, localization systems, and vehicle-state measurements. Key responsibilities include reconstructing road geometry, ego vehicle motion, and dynamic traffic participants into structured representations for simulation and machine learning. The role supports the development of end-to-end and Vision-Language-Action driving systems. Required skills include Python programming, familiarity with computer vision, machine learning, robotics, or autonomous systems, and experience with ROS or sensor-based systems. Preferred qualifications include experience with neural scene representations, Gaussian Splatting, lidar, and synthetic data generation to solve complex research problems in autonomous vehicle perception and mapping.

Skills

Python C++ Machine Learning Computer Vision Robotics ROS Autonomous Driving Gaussian Splatting Neural Scene Representations Lidar Simulation Synthetic Data Generation Vision-Language-Action (VLA) Models Foundation Models

What you'll do

Develop software pipelines for processing large-scale autonomous vehicle datasets.
Fuse and synchronize data from cameras, localization systems, and vehicle-state measurements.
Reconstruct road geometry, ego vehicle motion, and dynamic traffic participants.
Design scene representations for simulation, machine learning, and training workflows.
Develop tools and metrics to assess reconstruction quality, consistency, and performance.
Convert multimodal sensor data into structured representations for large-scale data generation.

What we're looking for

Must be currently enrolled in a Master's or PhD degree program in Computer Science, Robotics, Engineering, or a related field.
Must be returning to the degree program following completion of the internship.
Must have a GPA of 3.0 or above.
Must be legally authorized to work in the United States.
Must be able to perform work onsite in Santa Clara, CA.
Strong Python programming skills are required.
Familiarity with C++ is a plus (preferred).
Familiarity with computer vision, machine learning, robotics, or autonomous systems.
Experience with ROS, robotics data processing, or sensor-based systems.
Experience with neural scene representations, Gaussian Splatting, or related techniques (preferred).
Experience with simulation environments or synthetic data generation (preferred).
Experience working with multimodal sensor data, including cameras and lidar (preferred).
Familiarity with end-to-end driving models, foundation models, or Vision-Language-Action (VLA) models (preferred).

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