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.

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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 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. 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.