Internship, Foundation Models
Core
Intern to develop and evaluate foundation models for software-defined vehicles, focusing on model training, fine-tuning, and performance analysis.
Role type
Intern, machine learning engineer (foundation models)
Builds
Foundation models for autonomous urban transportation operating systems
Domain
Automotive / Mobility AI / Deep Learning
Deliverable
production ML models
Required skills
Python, PyTorch, machine learning fundamentals, deep learning, transformer architectures, debugging, experimental analysis
Preferred skills
Hugging Face Transformers, fine-tuning, dataset preparation, evaluation pipelines, GPU usage, Linux, Git, experiment tracking
Technologies
PyTorch, Hugging Face Transformers, Linux, Git
Responsibilities
Reproduce baseline results and understand models/datasets/evaluation workflows; Implement and evaluate improvements in fine-tuning, data quality, or inference efficiency; Run controlled experiments and analyze model performance, computational cost, and failure cases; Contribute reusable code, evaluation tools, and technical documentation; Present findings and recommendations to the team
