Engineering Intern - Supply Chain Data, AI and Business Intelligence (Spring 2027 Co-op)

Location: 100 Rivian Motorway (Normal Illinois)

Category: Internships & Early Career

Employment Type: FULL_TIME

Tags: Full Time, Rivian Automotive

About Rivian Rivian is 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 Rivian internships & co-ops are experiences optimized for student candidates. To be eligible, you must be an undergraduate or graduate student in an accredited program during the entire internship or co-op term. If you are not pursuing a degree, please see our full-time positions at Rivian.com/careers. Note that if your university has specific requirements for internship programs, it is your responsibility to fulfill those requirements. Our Spring Co-Op program runs from Jan - Aug, 2027. In order to be considered for this role, you must be available to work full time (40 hours per week), onsite, for the entire duration. If you are unable to work during the spring semester, please apply to our Summer Internship Program. Disclaimer: Applying to this requisition will place you into consideration for a Co-Op on our Supply Chain and Logistics team. Exact team allocation will be discussed during the hiring process if you are selected. No Visa Sponsorship Responsibilities Design, train, and deploy machine learning models Build mathematical optimization algorithms Collaborate with data engineers to clean, transform, and integrate massive streams of data and market signals. Establish automated CI/CD pipelines Partner with logistics coordinators, demand planners, and business leaders to convert real-world operational bottlenecks into actionable data science solutions. Qualifications Master’s degree in Data Science, Computer Science, Operations Research, Industrial Engineering, Statistics, or a related quantitative discipline. Advanced proficiency in Python and SQL, alongside core AI/ML frameworks (PyTorch, TensorFlow, Scikit-learn, XGBoost). Hands-on experience using optimization solvers (Gurobi, COIN-OR, SciPy, or Google OR-Tools) for constraint satisfaction problems. Deep foundational understanding of inventory control models (EOQ, safety stock), S&OP (Sales & Operations Planning), logistics execution, and procurement processes. Experience building pipelines on cloud environments (AWS, Azure, or GCP) using tools like Apache Spark, Databricks, or Snowflake. Experience developing Generative AI or Agentic AI workflows (e.g., LLMs, RAG) for document processing, contract analysis, or automated decision support. Familiarity integrating models with enterprise SCM/ERP platforms such as SAP IBP, Oracle SCM, or Blue Yonder. Knowledge of digital twin simulations or reinforcement learning applied to dynamic supply chain networks. Pay Disclosure Salary Range/Hourly Rate for Internships: The range of pay for internships is 25.00-51.00 per hour for Normal, Illinois based 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 candidateaccommodations@rivian.com. 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) with the position(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.

Responsibilities

Design, train, and deploy machine learning models Build mathematical optimization algorithms Collaborate with data engineers to clean, transform, and integrate massive streams of data and market signals. Establish automated CI/CD pipelines Partner with logistics coordinators, demand planners, and business leaders to convert real-world operational bottlenecks into actionable data science solutions.

Qualifications

Master’s degree in Data Science, Computer Science, Operations Research, Industrial Engineering, Statistics, or a related quantitative discipline. Advanced proficiency in Python and SQL, alongside core AI/ML frameworks (PyTorch, TensorFlow, Scikit-learn, XGBoost). Hands-on experience using optimization solvers (Gurobi, COIN-OR, SciPy, or Google OR-Tools) for constraint satisfaction problems. Deep foundational understanding of inventory control models (EOQ, safety stock), S&OP (Sales & Operations Planning), logistics execution, and procurement processes. Experience building pipelines on cloud environments (AWS, Azure, or GCP) using tools like Apache Spark, Databricks, or Snowflake. Experience developing Generative AI or Agentic AI workflows (e.g., LLMs, RAG) for document processing, contract analysis, or automated decision support. Familiarity integrating models with enterprise SCM/ERP platforms such as SAP IBP, Oracle SCM, or Blue Yonder. Knowledge of digital twin simulations or reinforcement learning applied to dynamic supply chain networks.