Engineering Intern - Supply Chain Data, AI and Business Intelligence (Spring 2027 Co-op)
Rivian
- Location
- Normal, Illinois
- Employment
- Internship
- Work model
- On-Site
- Level
- Intern
- Posted
- 1h ago
Skills
About this role
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.
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