Automotive Data Science Intern (ML & Signal Processing)

Rivian Automotive; Champaign (IL); On-site; USD 34,000 - 55,000; Full time

Job summary

Rivian is seeking an intern to help build an integrated analytical workflow leveraging cloud infrastructure and LLMs for automotive data analysis. The role focuses on data preparation, feature extraction, and scalable model training.

The ideal candidate is pursuing a Master or PhD in CS/EE/Physics with strong Python skills and ML knowledge. This internship is based in Illinois and runs Spring 2027 with eligibility criteria related to enrollment and degree completion timelines.

Qualifications

• Pursuing a masters or PhD in CS/CE/EE/Physics is required.
• Active enrollment as a student in an accredited program for Spring 2027 internship.
• Proficiency in Python and data analysis libraries (Pandas, NumPy, Scikit-learn).
• Experience with ML concepts and model evaluation metrics is preferred.

Responsibilities

• Develop Python-based tools to parse, decode, and extract features from automotive PCAP logs.
• Apply signal-processing techniques to vehicle data for large-scale analysis.
• Research and train ML models (Decision Trees, Random Forests, Neural Networks) for prediction and classification.
• Architect end-to-end data workflow from raw logs to model training.
• Create dashboards to communicate outcomes to general audiences.

Skills

Python programming

AI/ML basics

Data analysis

Education

Masters or PhD in CS/CE/EE/Physics

Tools

C/C++

Embedded systems

Job description

Rivian is seeking an intern to help build an integrated analytical workflow leveraging cloud infrastructure and LLMs for automotive data analysis. The role focuses on data preparation, feature extraction, and scalable model training.

The ideal candidate is pursuing a Master or PhD in CS/EE/Physics with strong Python skills and ML knowledge. This internship is based in Illinois and runs Spring 2027 with eligibility criteria related to enrollment and degree completion timelines.