2 months ago
Normal, IL, USAIntern
Responsibilities
- Design, train, and deploy machine learning models.
- Build mathematical optimization algorithms for supply chain problems.
- Collaborate with data engineers to clean, transform, and integrate large data streams and market signals.
- Establish automated CI/CD pipelines.
- Partner with logistics coordinators, demand planners, and business leaders to convert operational bottlenecks into data science solutions.
Requirements
- Master’s degree in data science, computer science, operations research, industrial engineering, statistics, or a related quantitative discipline.
- Advanced proficiency in Python, SQL, and core AI/ML frameworks including PyTorch, TensorFlow, Scikit-learn, and XGBoost.
- Hands-on experience with optimization solvers for constraint satisfaction problems.
- Strong knowledge of inventory control models, S&OP, logistics execution, and procurement processes.
- Experience building cloud data pipelines using AWS, Azure, or GCP and tools such as Apache Spark, Databricks, or Snowflake.
- Experience developing generative AI or agentic AI workflows, including LLM and RAG applications.
- 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.
- Must be an undergraduate or graduate student in an accredited program for the entire co-op term.
Benefits
- Spring 2027 co-op runs from January through August 2027.
- Full-time, 40-hour-per-week onsite work is required for the entire co-op term in Normal, Illinois.
- Benefits include paid vacation, paid sick leave, and medical insurance.
- Internship positions are not eligible for retirement benefits.
Tech Stack
Apache SparkAWSAzureDatabricksGoogle Cloud PlatformPythonPyTorchscikit-learnSciPySnowflakeSQLTensorFlowXGBoost
Categories
Data EngineeringML Engineering
About Rivian
Rivian designs and manufactures electric vehicles, including the R1T pickup, R1S SUV, and commercial delivery vans, selling directly to consumers and fleet operators. Founded in 2009 and headquartered in Irvine, California, it operates a manufacturing plant in Normal, Illinois, and is publicly traded on NASDAQ. The company also develops in-vehicle software and electrical architecture and offers charging and service support for its owners.