UIUC Research Park Intern - ML AI Motor Controls Algorithm

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

Descrizione del lavoro

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.

Competenze

• 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.

Mansioni

• 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.

Conoscenze

Python programming

AI/ML basics

Data analysis

Formazione

Masters or PhD in CS/CE/EE/Physics

Strumenti

C/C++

Embedded systems

Descrizione del lavoro

About Rivian

Rivianis on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.

As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.

Role Summary

Internship Term: Spring 2027

Rivian internships are experiences optimized for student candidates. To be eligible, you must be an undergraduate or graduate student in an accredited program during the internship term with an expected graduation date between December 2027 through May 2029.

Rivian's Internship Program requires active student enrollment. Information regarding your expected degree completion date is collected solely to verify eligibility and determine your availability for future full-time opportunities. Rivian is an equal opportunity employer and does not use graduation dates to determine the age of applicants or as a basis for discriminatory hiring decisions.

If you are not pursuing a degree, please see our full time positions on our Rivian careers site.

Note that if your university has specific requirements for internship programs, it is your responsibility to fulfill those requirements.

No Visa Sponsorship

In this role, you will help develop an integrated analytical workflow that leverages Cloud infrastructure and Large Language Models (LLMs), alongside traditional machine learning, to derive actionable insights from complex vehicle data. The project's main focus is architecting an automated, cloud-connected system for high-level data preparation and analysis.

Responsibilities

• 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-understanddashboards for the generalaudience, focusing clearlyon outcomes to support decision making.

Qualifications

• 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: Demonstrated coursework or project experience with techniques like FFT, Wavelet Transforms, or Control Theory, preffered.
• Understanding of Functional Safety (ISO 26262) principles, preffered.

Pay Disclosure

The salary range for this role is $25.00-40.00/hr for Illinoisbased applicants. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, geographic location, shift, and organizational needs.

We offer a comprehensive package of benefits including but not limited to paid vacation, paid sick leave, and medical insurance benefits. Internship positions are not eligible for retirement benefits. More information about benefits is available at rivianbenefits.com.

Equal Opportunity

Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.

Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at [e-mail].

Candidate Data Privacy and Technology

Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.

Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services.

Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.

How We Use AI in Our Hiring Process: To ensure transparency, we want candidates to know that Rivian uses iCIMS Talent Cloud Artificial Intelligence (TCAI) and AI-enabled tools to assist with screening, reviewing, organizing and highlighting profiles and applications that match the key requirements for each role.

AI does not make hiring decisions: Qualified candidate applications are reviewed by a member of our team, and all decisions throughout the process are made by humans. We use AI to support efficiency and consistency, not to replace human judgment. We are committed to a fair, thoughtful, and equitable experience for every candidate.

Participation in AI profile matching is entirely voluntary. If you prefer that your profile not be used in this process, you can opt out at any time. Opting out means your profile will be excluded from automated matching and will not be surfaced for additional roles through this system. Your current application remains active and will not be affected in any way.

Please note that we are currently not accepting applications from third party application services.