Summer Intern– Connected Driving World Models

Mountain View, CA, US • Posted 5 hours ago • Updated 5 hours ago
Contract W2
Contract Corp To Corp
3 Months
On-site
Depends on Experience
Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

  • PHD
  • AI
  • ARTIFICIAL INTELLIGENCE
  • MACHINE LEARNING
  • PYTHON

Summary

Description:
Client is seeking a PhD student in Computer Science, Electrical Engineering, Mechanical Engineering, or a related engineering discipline to work on Connected Driving World Models.

What you''ll be doing:
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

Requirements:
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.

THIS IS A SUMMER INTERNSHIP ONLY:
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10115258
  • Position Id: 26-00945
  • Posted 5 hours ago
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