UIUC Research Park Intern - ML AI Motor Controls Algorithm

Rivian • Champaign, IL

2d

About The Position

Rivian is hiring an intern for Spring 2027 to develop an integrated analytical workflow that uses cloud infrastructure and large language models alongside traditional machine learning to derive actionable insights from complex vehicle data. The project focuses on architecting an automated, cloud-connected system for high-level data preparation and analysis.

The internship is intended for currently enrolled undergraduate or graduate students. Candidates must be enrolled in an accredited program during the internship term, with an expected graduation date between December 2027 and May 2029. The position does not offer visa sponsorship.

Requirements

• Currently pursuing a master's or PhD degree at the University of Illinois Urbana-Champaign; PhD preferred.
• Pursuing a degree in or closely related to Computer Science, Computer Engineering, Electrical Engineering, or Physics.
• Proficiency in AI practices, including feeding LLMs with data and a knowledge base.
• Expertise in Python for data analysis and modeling, including Pandas, NumPy, and Scikit-learn.
• Deep theoretical and practical understanding of classification algorithms, such as SVMs, Decision Trees, and ANNs, and model evaluation metrics, such as F1-score, precision, and recall.
• Practical experience with C or C++ for embedded systems development and code review.

Nice To Haves

• Coursework or project experience with signal-processing techniques such as FFT, Wavelet Transforms, or Control Theory.
• Understanding of Functional Safety (ISO 26262) principles.

Responsibilities

• Design and implement Python-based tools to parse, decode, and extract features from automotive PCAP logs.
• Apply signal-processing techniques to transform vehicle data and perform large-scale analysis of relevant corner cases.
• Research, develop, and train machine learning models, such as Decision Trees, Random Forests, and Neural Networks, for prediction, detection, and classification.
• Architect an end-to-end workflow to process raw vehicle logs, automate analysis, and prepare data for model training.
• Create easy-to-understand dashboards that communicate outcomes and support decision making.

Benefits

• Paid vacation
• Paid sick leave
• Medical insurance benefits

What This Job Offers

• Career Level: Intern