Job Summary

Our client in the Silicon Valley is seeking a PhD student in Computer Science, Electrical Engineering, Mechanical Engineering, or a related engineering discipline to work on Connected Driving World Models.

For this Summer Internship position, you'll:

• 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

• Required 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.

Pay rate is $57.20 per hour for PhD program student

Artizen, Inc. is an equal opportunity employer. We are committed to complying with all federal, state, and local employment laws and regulations. It is our intent to maintain a work environment that is free of harassment, discrimination, or retaliation. Artizen will consider qualified applicants with arrest and conviction records for employment, pursuant to state and local Fair Chance Ordinances.