Cloud ML Intern: Data & Vehicle Analytics

Rivian Automotive; Champaign (IL); In loco; USD 34.000 - 55.000; Tempo pieno

Descrizione del lavoro

Rivian is seeking a student intern for Spring 2027 who will help develop an integrated analytical workflow using Cloud infrastructure and LLMs, alongside traditional machine learning, to derive insights from vehicle data. The project focuses on building an automated, cloud-connected system for data preparation and analysis.

The role requires pursuing a masters or PhD in CS, CE, EE, or Physics at UIUC, with strong Python (Pandas, NumPy) and ML fundamentals, and familiarity with embedded C/C++ for

Competenze

• Must be currently pursuing a masters or PhD degree at the University of Illinois Urbana Champaign (PhD preferred)
• Actively pursuing a degree or one closely related in Computer Science, Computer Engineering, Electrical Engineering, or Physics
• Proficiency in AI practices and feeding LLM with data and knowledge base
• Strong Programming Fluency: Expertise in Python (including Pandas, NumPy, Scikit-learn) for data analysis and modeling
• Advanced ML Knowledge: deep theoretical and practical understanding of classification algorithms (e.g., SVM, Decision Trees, ANNs) and model evaluation metrics (e.g., F1-score, precision, recall)
• C/C++ Proficiency: Practical experience with C or C++ for embedded systems development and code review
• Signal Processing Foundation: FFT, Wavelet Transforms, or Control Theory coursework or projects
• Understanding of Functional Safety (ISO 26262) principles

Mansioni

• Data & Feature Engineering: Design and implement robust Python-based tools to parse, decode, and extract features from automotive PCAP logs.
• Signal Processing: Apply advanced signal-processing techniques to transform vehicle data and perform large-scale analysis of corner cases of interest.
• ML Model Building: Research, develop, and train machine learning models (e.g., Decision Trees, Random Forests, Neural Networks) for prediction, detection, and classification tasks.
• System Integration: Architect the end-to-end workflow that processes raw vehicle logs, performs automated analysis, and prepares data for model training.
• Data visualization: Create easy-to-understand dashboards for the general audience, focusing clearly on outcomes to support decision making.

Conoscenze

Python

Pandas

NumPy

Scikit-learn

ML methods

SVM

Decision Trees

Neural Networks

C/C++

Formazione

MS/PhD student at UIUC

CS/CE/EE or Physics degree in progress

Strumenti

Python

Pandas

NumPy

Scikit-learn

Embedded C/C++

Descrizione del lavoro

Rivian is seeking a student intern for Spring 2027 who will help develop an integrated analytical workflow using Cloud infrastructure and LLMs, alongside traditional machine learning, to derive insights from vehicle data. The project focuses on building an automated, cloud-connected system for data preparation and analysis.

The role requires pursuing a masters or PhD in CS, CE, EE, or Physics at UIUC, with strong Python (Pandas, NumPy) and ML fundamentals, and familiarity with embedded C/C++ for