Summer Intern– Connected Driving World Models

Tata Technologies; Mountain View (CA); On-site; USD 60,000 - 90,000; Full time

Job summary

Tata Technologies in Mountain View is seeking a PhD student, specializing in Computer Science, Electrical Engineering, or related fields, to work on cutting-edge Connected Driving World Models.

The role involves developing AI World Models, utilizing generative and latent-space models, and conducting experiments with simulations and real-world data.

Candidates should have a solid foundation in Machine Learning, programming in Python, and experience with simulation platforms like CARLA.

Qualifications

• Currently pursuing a Ph.D. with a focus on AI/machine learning.
• Strong background in Machine Learning and Deep Learning.
• Experience with simulation platforms such as CARLA.
• Proficient programming skills in Python and common libraries.

Responsibilities

• Develop and evaluate AI World Models for driving systems.
• Explore generative and latent-space models for world models.
• Conduct experiments in simulations and real-world data.

Skills

Machine Learning

Deep Learning

Python programming

Simulation platforms (e.g., CARLA)

Education

Ph.D. in Computer Science or related field

Tools

TensorFlow

Pytorch

Job description

Overview

Seeking a PhD student in Computer Science, Electrical Engineering, Mechanical Engineering, or a related engineering discipline to work on Connected Driving World Models.

Responsibilities

• Develop and evaluate AI World Models for connected and automated driving systems
• Explore generative and latent-space models (e.g., diffusion, VAE-style world models)
• Conduct experiments in simulations and/or logged real world driving data

Qualifications

• Currently pursuing a Ph.D. in Computer Science, Electrical Engineering, Mechanical Engineering, or a related engineering discipline with a focus on AI / machine learning
• Strong background in Machine Learning and Deep Learning
• Experience with simulation platforms such as CARLA
• Proficient programming skills in Python and common libraries (e.g., TensorFlow, Pytorch, etc.)
• Ability to engage in general research activities such as defining problems and issues to be addressed, finding, and using research data, and being able to make recommendations and findings in writing and presentations.